DICOM PS3.17 2024c - Explanatory Information
PS3.17 (Current)
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PS3.17

PS3.17

DICOM PS3.17 2024c - Explanatory Information

DICOM Standards Committee

Copyright © 2024 NEMA

A DICOM® publication

Table of Contents

Notice and Disclaimer
Foreword
1. Scope and Field of Application
2. Normative References
Bibliography
3. Definitions
Glossary
4. Symbols and Abbreviations
5. Conventions
A. Explanation of Patient Orientation (Normative)
B. Integration of Modality Worklist and Modality Performed Procedure Step in The Original DICOM Standard (Informative)
C. Waveforms (Informative)
C.1. Domain of Application
C.2. Use Cases
C.3. Time Synchronization Frame of Reference
C.4. Waveform Acquisition Model
C.5. Waveform Information Model
C.6. Harmonization With HL7
C.6.1. HL7 Waveform Observation
C.6.2. Channel Definition
C.6.3. Timing
C.6.4. Waveform Data
C.6.5. Annotation
C.7. Harmonization With SCP-ECG
D. SR Encoding Example (Informative)
E. Mammography CAD (Informative)
E.1. Mammography CAD SR Content Tree Structure
E.2. Mammography CAD SR Observation Context Encoding
E.3. Mammography CAD SR Examples
E.3.1. Example 1: Calcification and Mass Detection With No Findings
E.3.2. Example 2: Calcification and Mass Detection With Findings
E.3.3. Example 3: Calcification and Mass Detection, Temporal Differencing With Findings
E.4. CAD Operating Point
E.5. Mammography CAD SR and For Processing / For Presentation Images
F. Chest CAD (Informative)
F.1. Chest CAD SR Content Tree Structure
F.2. Chest CAD SR Observation Context Encoding
F.3. Chest CAD SR Examples
F.3.1. Example 1: Lung Nodule Detection With No Findings
F.3.2. Example 2: Lung Nodule Detection With Findings and Anatomy/pathology Interpretation
F.3.3. Example 3: Lung Nodule Detection, Temporal Differencing With Findings
F.3.4. Example 4: Lung Nodule Detection in Chest Radiograph, Spatially Correlated With CT
G. Explanation of Grouping Criteria For Multi-frame Functional Group IODs (Informative)
H. Clinical Trial Identification Workflow Examples (Informative)
H.1. Example Use-case
I. Ultrasound Templates (Informative)
I.1. SR Content Tree Structure
I.2. Procedure Summary
I.3. Multiple Fetuses
I.4. Explicitly Specifying Calculation Dependencies
I.5. Linking Measurements to Images, Coordinates
I.6. Ob Patterns
I.7. Selected Value
I.8. OB-GYN Examples
I.8.1. Example 1: OB-GYN Root with Observation Context
I.8.2. Example 2: OB-GYN Patient Characteristics and Procedure Summary
I.8.3. Example 3: OB-GYN Multiple Fetus
I.8.4. Example 4: Biophysical Profile
I.8.5. Example 5: Biometry Ratios
I.8.6. Example 6: Biometry
I.8.7. Example 7: Amniotic Sac
I.8.8. Example 8: OB-GYN Ovaries
I.8.9. Example 9: OB-GYN Follicles
I.8.10. Example 10: Pelvis and Uterus
J. Handling of Identifying Parameters (Informative)
J.1. Purpose of This Annex
J.2. Integrated Environment
J.2.1. Modality Conforms to Modality Worklist and MPPS SOP Classes
J.2.2. Modality Conforms Only to The Modality Worklist SOP Class
J.2.3. Modality Conforms Only to The MPPS SOP Class
J.3. Non-integrated Environment
J.4. One MPPS Is Created in Response to Two Or More Requested Procedures
J.4.1. Choose Or Create A Value For Study Instance UID and Accession Number
J.4.2. Replicate The Image IOD
J.5. MPPS SOP Instance Created by Another System (not the Modality)
J.6. Mapping of Study Instance UIDs to the Study SOP Instance UID
K. Ultrasound Staged Protocol Data Management (Informative)
K.1. Purpose of this Annex
K.2. Prerequisites For Support
K.3. Definition of a Staged Protocol Exam
K.4. Attributes Used in Staged Protocol Exams
K.5. Guidelines
K.5.1. Staged Protocol Exam Identification
K.5.2. Stage and View Identification
K.5.3. Extra-protocol Image Identification
K.5.4. Multiple Images of A Stage-view
K.5.5. Workflow Management of Staged Protocol Images
K.5.5.1. Uninterrupted Exams - Single MPPS
K.5.5.2. Interrupted Exams - Multiple MPPS
K.5.5.2.2. Scheduled Follow-up Stages
L. Hemodynamics Report Structure (Informative)
M. Vascular Ultrasound Reports (Informative)
M.1. Vascular Report Structure
M.2. Vascular Examples
M.2.1. Example 1: Renal Vessels
M.2.2. Example 2: Carotids Extracranial
N. Echocardiography Procedure Reports (Informative)
N.1. Echo Patterns
N.2. Measurement Terminology Composition
N.3. Illustrative Mapping to ASE Concepts
N.3.1. Aorta
N.3.2. Aortic Valve
N.3.3. Left Ventricle - Linear
N.3.4. Left Ventricle Volumes and Ejection Fraction
N.3.5. Left Ventricle Output
N.3.6. Left Ventricular Outflow Tract
N.3.7. Left Ventricle Mass
N.3.8. Left Ventricle Miscellaneous
N.3.9. Mitral Valve
N.3.10. Pulmonary Vein
N.3.11. Left Atrium / Appendage
N.3.12. Right Ventricle
N.3.13. Pulmonic Valve / Pulmonic Artery
N.3.14. Tricuspid Valve
N.3.15. Right Atrium / Inferior Vena Cava
N.3.16. Congenital/Pediatric
N.4. Encoding Examples
N.4.1. Example 1: Patient Characteristics
N.4.2. Example 2: LV Dimensions and Fractional Shortening
N.4.3. Example 3: Left Atrium / Aortic Root Ratio
N.4.4. Example 4: Pressures
N.4.5. Example 5: Cardiac Output
N.4.6. Example 6: Wall Scoring
N.5. IVUS Report
O. Registration (Informative)
O.1. Spatial Registration and Spatial Fiducials SOP Classes
O.2. Functional Use Cases
O.3. System Interaction
O.4. Overview of Encoding
O.5. Matrix Registration
O.6. Spatial Fiducials
P. Transforms and Mappings (Informative)
Q. Breast Imaging Report (Informative)
Q.1. Breast Imaging Report Content Tree Structure
Q.2. Breast Imaging Report Examples
Q.2.1. Example 1: Screening Mammogram With Negative Findings
Q.2.2. Example 2: Screening Mammogram With Negative Findings
Q.2.3. Example 3: Diagnostic Mammogram - Unilateral
Q.2.4. Example 4: Diagnostic Mammogram and Ultrasound - Unilateral
R. Configuration Use Cases (Informative)
R.1. Install A New Machine
R.1.1. Configure DHCP
R.1.2. Configure LDAP
R.1.2.1. Pre-configure
R.1.2.2. Updating Configuration During Installation
R.1.2.3. Configure Client Then Update Server
R.1.3. Distributed Update Propagation
R.2. Legacy Compatibility
R.3. Obtain Configuration of Other Devices
R.3.1. Find AE When Given Device Type
R.4. Device Start up
R.5. Shutdown
R.5.1. Shutdown
R.5.2. Online/offline
R.6. Time Synchronization
R.6.1. High Accuracy Time Synchronization
R.6.2. Ordinary Time Synchronization
R.6.3. Background
R.6.3.1. Unsynchronized Time
R.6.3.2. Network Synchronized Time
R.6.3.3. External Clocks
R.6.4. SNTP Restrictions
R.6.5. Implementation Considerations
S. Legacy Transition For Configuration Management (Informative)
S.1. Legacy Association Requester, Configuration Managed Association Acceptor
S.1.1. DHCP Server
S.1.2. DNS Server
S.1.3. LDAP Server
S.2. Managed Association Requester, Legacy Association Acceptor
S.2.1. DHCP Server
S.2.2. DNS Server
S.2.3. LDAP Server
S.3. No DDNS Support
S.4. Partially Managed Devices
S.5. Adding The First Managed Device to A Legacy Network
S.5.1. New Servers Required
S.5.2. NTP
S.5.3. Documenting Managed and Unmanaged Nodes (DHCP, DNS, and LDAP)
S.5.3.1. DHCP Documentation
S.5.3.2. DNS Documentation
S.5.3.3. LDAP Documentation
S.5.3.4. Descriptions of Other Devices
S.5.4. Description of This Device
S.6. Switching A Node From Unmanaged to Managed in A Mixed Network
S.6.1. DHCP and DNS
S.6.2. NTP
S.6.3. Association Acceptors On This Node
S.6.4. Association Requesters On Legacy Nodes
S.6.5. Association Requesters On Managed Nodes
T. Quantitative Analysis References (Informative)
T.1. Definition of Left and Right in the Case of Quantitative Arterial Analysis
T.2. Definition of Diameter Symmetry with Arterial Plaques
T.3. Wall Motion Regions
T.3.1. Landmark Based Wall Motion Regions
T.3.2. Centerline Wall Motion Region
T.3.4. Radial Based Wall Motion Region
T.4. Quantitative Arterial Analysis Reference Method
T.4.1. Computer Calculated Reference
T.4.2. Interpolated Reference
T.4.3. Mean Local Reference
T.5. Positions in Diameter Graphic
U. Ophthalmology Use Cases (Informative)
U.1. Ophthalmic Photography Use Cases
U.1.1. Routine N-spot Exam
U.1.2. Routine N-spot Exam With Exceptions
U.1.3. Routine Flourescein Exam
U.1.4. External Examination
U.1.5. External Examination With Intention
U.1.6. External Examination With Drug Application
U.1.7. Routine Stereo Camera Examination
U.1.8. Relative Image Position Definitions
U.2. Typical Sequence of Events
U.3. Ophthalmic Tomography Use Cases (Informative)
U.3.1. Anterior Chamber Tomography
U.3.1.1. Anterior Chamber Exam For Phakic Intraocular Lens Surgery Planning
U.3.1.2. Anterior Chamber Angle Exam
U.3.1.4. Corneal Exam
U.3.2. Posterior Segment Tomography
U.3.2.1. Retinal Nerve Fiber Layer Exam
U.3.2.2. Macular Exam
U.3.2.3. Angiographic Exams
U.3.2.4. 3D Reconstruction Exam
U.3.2.5. Transverse Imaging
V. Hanging Protocols (Informative)
V.1. Example Scenario
V.2. Hanging Protocol Internal Process Model
V.3. Chest X-Ray Hanging Protocol Example
V.3.1. Hanging Protocol Definition Module
V.3.2. Hanging Protocol Environment Module
V.3.3. Hanging Protocol Display Module
V.4. Neurosurgery Planning Hanging Protocol Example
V.4.1. Hanging Protocol Definition Module
V.4.2. Hanging Protocol Environment Module
V.4.3. Hanging Protocol Display Module
V.5. Hanging Protocol Query Example
V.6. Display Set Patient Orientation Example
W. Digital Signatures in Structured Reports Use Cases (Informative)
X. Dictation-based Reporting With Image References (Informative)
X.1. Basic Data Flows
X.1.1. Dictation/transcription Reporting
X.1.2. Reporting With Image References
X.1.3. Reporting With Annotated Images
X.2. Transcribed Diagnostic Imaging SR Instance Content
X.2.1. SR Header Content
X.2.2. Transcribed Text Data Format
X.2.3. Image Reference Format
X.3. Transcribed Diagnostic Imaging CDA Instance Content
X.3.1. CDA Header Content
X.3.2. Transcribed Text Content
X.3.3. Image References
X.3.4. Icons
X.3.5. Structured Entries
X.4.3. Using The WADO Reference For DICOM Network Protocol Retrievals
X.4. Simultaneous SR and CDA Instance Creation
X.4.1. Equivalence
X.4.2. Document Cross-reference
Y. VOI LUT Functions (Informative)
Z. X-Ray Isocenter Reference Transformations (Informative)
Z.1. Introduction
Z.2. Positioner Coordinate System Transformations
Z.3. Table Coordinate System Transformations
AA. Radiation Dose Reporting Use Cases (Informative)
AA.1. Purpose of This Annex
AA.2. Definitions
AA.3. Use Cases
AA.3.1. Basic Dose Reporting
AA.3.2. Dose Reporting For Manual Data Entry
AA.3.3. Dose Reporting Processing
AA.3.4. Dose Reporting Workflow Management (Retired)
BB. Printing (Informative)
BB.1. Example of Print Management SCU Session (Informative)
BB.1.1. Simple Example
BB.1.2. Advanced Example (Retired)
CC. Storage Commitment (Informative)
CC.1. Storage Commitment Examples (Informative)
CC.1.1. Push Model Example
CC.1.2. Pull Model Example (Retired)
CC.1.3. Remote Storage of Data by The SCP
CC.1.4. Storage Commitment in Conjunction With Use of Storage Media
DD. Worklists (Informative)
DD.1. Examples For The Usage of The Modality Worklist (Informative)
DD.2. General Purpose Worklist Example (Informative) (Retired)
EE. Relevant Patient Information Query (Informative)
EE.1. Relevant Patient Information Query Example (Informative)
FF. CT/MR Cardiovascular Analysis Report Templates (Informative)
FF.2. Template Structure
FF.3. Report Example
GG. JPIP Referenced Pixel Data Transfer Syntax Negotiation (Informative)
HH. Segmentation Encoding Example (Informative)
II. Use of Product Characteristics Attributes in Composite SOP Instances (Informative)
II.1. Contrast/bolus Module
II.2. Enhanced Contrast/bolus Module
II.3. Device Module
II.4. Intervention Module
JJ. Surface Mesh Representation (Informative)
JJ.1. Multi-Dimensional Vectors
JJ.2. Encoding Examples
KK. Use Cases For The Composite Instance Root Retrieval Classes (Informative)
KK.1. Clinical Review
KK.1.1. Retrieval Based On Report References
KK.1.2. Selective Retrieval Without References to Specific Slices
KK.2. Local Use - "Relevant Priors"
KK.2.1. Anatomic Sub-region
KK.2.2. Worklists
KK.3. Attribute Based Retrieval
KK.4. CAD & Data Mining Applications
KK.5. Independent WADO Server
LL. Example SCU Use of The Composite Instance Root Retrieval Classes (Informative)
LL.1. Retrieval of Entire Composite Instances
LL.2. Retrieval of Selected Frame Composite Instances From Multi-frame Objects
LL.3. Retrieval of Selected Frame Composite Instances From MPEG-2, MPEG-4 AVC/H.264 or HEVC/H.265 Video
MM. Considerations For Applications Creating New Images From Multi-frame Images
MM.1. Scope
MM.2. Frame Extraction Issues
MM.2.1. Number of Frames
MM.2.2. Start and End Times
MM.2.3. Time Interval versus Frame Increment Vector
MM.2.4. MPEG-2, MPEG-4 AVC/H.264 or HEVC/H.265
MM.2.5. JPEG 2000 Part 2 Multi-Component Transform
MM.2.6. Functional Groups For Enhanced CT, MR, etc.
MM.2.7. Nuclear Medicine Images
MM.2.8. A "Single Frame" Multi-frame Image
MM.3. Frame Numbers
MM.4. Consistency
MM.5. Time Synchronization
MM.6. Audio
MM.7. Private Attributes
NN. Specimen Identification and Management
NN.1. Pathology Workflow
NN.2. Basic Concepts and Definitions
NN.2.1. Specimen
NN.2.2. Containers
NN.3. Specimen Module
NN.3.1. Scope
NN.3.2. Relationship With The Laboratory Information System
NN.3.3. Case Level Information and The Accession Number
NN.3.4. Laboratory Workflows and Specimen Types
NN.3.5. Relationship Between Specimens and Containers
NN.3.6. Relationship Between Specimens and Images
NN.4. Specimen Identification Examples
NN.4.1. One Specimen Per Container
NN.4.2. Multiple Items From Same Block
NN.4.3. Items From Different Parts in The Same Block
NN.4.4. Items From Different Parts On The Same Slide
NN.4.5. Tissue Micro Array
NN.5. Structure of The Specimen Module
NN.6. Examples of Specimen Module Use
NN.6.1. Gross Specimen
NN.6.2. Slide
NN.7. Specimen Data in Pathology Imaging Workflow Management
NN.7.1. Modality Worklist
NN.7.1.1. MWL for Whole Slide Imaging
NN.7.2. Modality Performed Procedure Step
OO. Structured Display (Informative)
OO.1. Structured Display Use Cases
OO.1.1. Dentistry
OO.1.2. Ophthalmology
OO.1.3. Cardiology
OO.1.4. Radiology
PP. 3D Ultrasound Volumes (Informative)
PP.1. Purpose of This Annex
PP.2. 3D Ultrasound Clinical Use Cases
PP.2.1. Use Cases
PP.2.2. Hierarchy of Use Cases
PP.3. 3D Ultrasound Solutions in DICOM
PP.3.1. 3D Volume Data sets
PP.3.2. 2D Derived Images
PP.3.3. Physiological Waveforms Associated With 3D Volume Data sets
PP.3.4. Workflow Considerations
QQ. Enhanced US Data Type Blending Examples (Informative)
QQ.1. Enhanced US Volume Use of the Blending and Display Pipeline
QQ.1.1. Example 1 - Grayscale P-Values Output
QQ.1.2. Example 2 - Grayscale-only Color Output
QQ.1.3. Example 3 - Color Tissue (Pseudo-color) Mapping
QQ.1.4. Example 4 - Fixed Proportion Additive Grayscale Tissue and Color Flow
QQ.1.5. Example 5 - Threshold Based On Flow_velocity
QQ.1.6. Example 6 - Threshold Based On Flow_velocity and Flow_variance W/2d Color Mapping
QQ.1.7. Example 7 - Color Tissue / Velocity / Variance Mapping - Blending Considers Both Data Paths
RR. Ophthalmic Refractive Reports Use Cases (Informative)
RR.1. Introduction
RR.2. Reference Tables For Equivalent Visual Acuity Notations
RR.2.1. Background
RR.2.2. Notations
RR.2.3. Use of The Lookup Table
RR.2.4. Traditional Charts
RR.2.5. ETDRS Charts
SS. Colon CAD (Informative)
SS.1. Colon CAD SR Content Tree Structure
SS.2. Colon CAD SR Observation Context Encoding
SS.3. Colon CAD SR Examples
SS.3.1. Example 1: Colon Polyp Detection With No Findings
SS.3.2. Example 2: Colon Polyp Detection With Findings
SS.3.3. Example 3: Colon Polyp Detection, Temporal Differencing With Findings
TT. Stress Testing Report Template (Informative)
UU. Macular Grid Thickness and Volume Report Use Cases (Informative)
UU.1. Introduction
UU.2. Use of B-scan Images
UU.3. Use of Tissue Measurements
UU.4. Axial Measurements
UU.5. En Face Measurements
UU.6. Interpretation of OPT
VV. Pediatric, Fetal and Congenital Cardiac Ultrasound Reports (Informative)
VV.1. Content Structure
VV.2. Pediatric, Fetal and Congenital Cardiac Ultrasound Patterns
VV.3. Measurement Terminology Composition
WW. Audit Messages (Informative)
WW.1. Message Example
WW.2. Workflow Example
XX. Use Cases for Application Hosting
XX.1. Agent-Specific Post Processing
XX.2. Support For Multi-site Collaborative Research
XX.3. Screening Applications
XX.4. Modality-Specific Post Processing
XX.5. Measurement/Evidence Document Creation
XX.6. CAD Rendering
YY. Compound and Combined Graphic Objects in Presentation States (Informative)
YY.1. An Example of The Compound Graphic 'axis'
YY.2. An Example of Distance Line Defined As A Combined Graphic Object
ZZ. Implant Template Description
ZZ.1. Implant Mating
ZZ.1.1. Mating Features
ZZ.1.2. Mating Feature ID
ZZ.1.3. Mating Feature Sets
ZZ.1.4. Degrees of Freedom
ZZ.1.5. Implant Assembly Templates
ZZ.2. Planning Landmarks
ZZ.3. Implant Registration and Mating Example
ZZ.3.1. Degrees of Freedom
ZZ.4. Encoding Example
ZZ.5. Implant Template Versions and Derivation
AAA. Implantation Plan SR Document (Informative)
AAA.1. Implantation Plan SR Document Content Tree Structure
AAA.2. Relationship Between Implant Template and Implantation Plan
AAA.3. Implantation Plan SR Document Total Hip Replacement Example
AAA.4. Implantation Plan SR Document Dental Drilling Template Example
BBB. Unified Procedure Step in Radiotherapy (Informative)
BBB.1. Purpose of this Annex
BBB.2. Use Case Actors
BBB.3. Use Cases
BBB.3.1. Treatment Delivery Normal Flow - Internal Verification
BBB.3.1.1. Message Sequencing
BBB.3.1.2. Transactions and Message Flow
BBB.3.2. Treatment Delivery Normal Flow - External Verification
BBB.3.2.1. Message Sequencing
BBB.3.2.2. Transactions and Message Flow
BBB.3.3. Treatment-delivery With External Verification - Override Or Additional Info Required
BBB.3.3.1. Message Sequencing
BBB.3.3.2. Transactions and Message Flow
BBB.3.4. Treatment-delivery With External Verification - Machine Adjustment Required
BBB.3.4.1. Message Sequencing
BBB.3.4.2. Transactions and Message Flow
CCC. Ophthalmic Axial Measurements and Intraocular Lens Calculations Use Cases (Informative)
CCC.1. Axial Measurements
CCC.2. Intraocular Lens Calculations Introduction
CCC.3. Output of An Ultrasound A-scan Device
CCC.4. Output of An Optical A-scan Device
CCC.5. IOL Calculation Results Example
DDD. Visual Field Static Perimetry Use Cases (Informative)
DDD.1. Introduction
DDD.2. Use Cases
DDD.2.1. Evaluation For Glaucoma
DDD.2.2. Neurological Disease
DDD.2.3. Diffuse and Local Defect
DDD.2.3.1. Diffuse Defect
DDD.2.4.2. Local Defect
EEE. Intravascular OCT Image (Informative)
EEE.1. Purpose of This Annex
EEE.2. IVOCT For Processing Parameters
EEE.2.1. Z Offset Correction
EEE.2.2. Refractive Index Correction
EEE.2.3. Polar-Cartesian Conversion
EEE.3. Intravascular Longitudinal Image
FFF. Enhanced XA/XRF Encoding Examples (Informative)
FFF.1. General Concepts of X-Ray Angiography
FFF.1.1. Time Relationships
FFF.1.1.1. Time Relationships of A Multi-frame Image
FFF.1.1.2. Time Relationships of One Frame
FFF.1.2. Acquisition Geometry
FFF.1.2.1. Patient Description
FFF.1.2.2. Patient Position
FFF.1.2.2.1. Table Description
FFF.1.2.2.2. Options For Patient Position On The X-Ray Table
FFF.1.2.3. Table Movement
FFF.1.2.3.1. Isocenter Coordinate System
FFF.1.2.3.2. Table Movement in The Isocenter Coordinate System
FFF.1.2.4. Positioner Movement
FFF.1.2.4.1. Positioner Movement in The Isocenter Coordinate System
FFF.1.2.4.2. X-Ray Incidence and Image Coordinate System
FFF.1.2.5. Field of View Transformations
FFF.1.2.5.1. Detector
FFF.1.2.5.2. Field of View
FFF.1.2.5.3. Field of View Rotation and Flip
FFF.1.3. Calibration
FFF.1.4. X-Ray Generation
FFF.1.5. Pixel Data Properties and Display Pipeline
FFF.2. Application Cases
FFF.2.1. Acquisition
FFF.2.1.1. ECG Recording at Acquisition Modality
FFF.2.1.1.1. User Scenario
FFF.2.1.1.2. Encoding Outline
FFF.2.1.1.3. Encoding Details
FFF.2.1.1.3.1. Enhanced XA Image
FFF.2.1.1.3.1.1. Synchronization Module Recommendations
FFF.2.1.1.3.1.2. General Equipment Module Recommendations
FFF.2.1.1.3.1.3. Cardiac Synchronization Module Recommendations
FFF.2.1.1.3.1.4. Enhanced XA/XRF Image Module Recommendations
FFF.2.1.1.3.1.5. Cardiac Synchronization Macro Recommendations
FFF.2.1.1.3.1.6. Frame Content Macro Recommendations
FFF.2.1.1.3.2. General ECG Object
FFF.2.1.1.3.2.1. General Series Module Recommendations
FFF.2.1.1.3.2.2. Synchronization Module Recommendations
FFF.2.1.1.3.2.3. General Equipment Module Recommendations
FFF.2.1.1.3.2.4. Waveform Identification Recommendations
FFF.2.1.1.3.2.5. Waveform Module Recommendations
FFF.2.1.1.4. Examples
FFF.2.1.1.4.1. Enhanced XA Image Without Cardiac Synchronization
FFF.2.1.1.4.2. Enhanced XA Image With Cardiac Synchronization
FFF.2.1.2. Multi-modality Waveform Synchronization
FFF.2.1.2.1. Both Modalities Synchronized Via NTP
FFF.2.1.2.1.1. User Scenario
FFF.2.1.2.1.2. Encoding Outline
FFF.2.1.2.1.3. Encoding Details
FFF.2.1.2.1.3.1. Enhanced XA Image
FFF.2.1.2.1.3.1.1. Synchronization Module Recommendations
FFF.2.1.2.1.3.1.2. Enhanced XA/XRF Image Module Recommendations
FFF.2.1.2.1.3.1.3. Frame Content Macro Recommendations
FFF.2.1.2.1.3.2. Waveform Object
FFF.2.1.2.1.4. Example
FFF.2.1.2.2. One Modality Sends Trigger to The Other Modality
FFF.2.1.2.2.1. User Scenario
FFF.2.1.2.2.2. Encoding Outline
FFF.2.1.2.2.3. Encoding Details
FFF.2.1.2.2.3.1. Enhanced XA Image
FFF.2.1.2.2.3.1.1. Synchronization Module Recommendations
FFF.2.1.2.2.3.1.2. Enhanced XA/XRF Image Module Recommendations
FFF.2.1.2.2.3.1.3. Frame Content Macro Recommendations
FFF.2.1.2.2.3.2. Waveform Object
FFF.2.1.2.2.3.2.2. Synchronization Module Recommendations
FFF.2.1.2.2.3.2.3. Waveform Identification Module Recommendations
FFF.2.1.2.2.3.2.4. Waveform Module Recommendations
FFF.2.1.2.2.4. Examples
FFF.2.1.2.2.4.1. Image modality sends trigger to the waveform modality
FFF.2.1.2.2.4.2. Waveform modality sends trigger to the image modality
FFF.2.1.3. Mechanical Movement
FFF.2.1.3.1. Rotational Acquisition
FFF.2.1.3.1.1. User Scenario
FFF.2.1.3.1.2. Encoding Outline
FFF.2.1.3.1.3. Encoding Details
FFF.2.1.3.1.3.1. XA/XRF Acquisition Module Recommendations
FFF.2.1.3.1.3.2. X-Ray Positioner Macro Recommendations
FFF.2.1.3.1.3.3. X-Ray Isocenter Reference System Macro Recommendations
FFF.2.1.3.1.4. Example
FFF.2.1.3.2. Peripheral/stepping Acquisition
FFF.2.1.3.2.1. User Scenario
FFF.2.1.3.2.2. Encoding Outline
FFF.2.1.3.2.3. Encoding Details
FFF.2.1.3.2.3.1. XA/XRF Acquisition Module Recommendations
FFF.2.1.3.2.3.2. X-Ray Table Position Macro Recommendations
FFF.2.1.3.2.3.3. X-Ray Isocenter Reference System Macro Recommendations
FFF.2.1.3.2.4. Example
FFF.2.1.4. Changes in X-Ray Controls
FFF.2.1.4.1. Exposure Regulation Control
FFF.2.1.4.1.1. User Scenario
FFF.2.1.4.1.2. Encoding Outline
FFF.2.1.4.1.3. Encoding Details
FFF.2.1.4.1.3.1. X-Ray Exposure Control Sensing Regions Macro Recommendations
FFF.2.1.4.1.4. Example
FFF.2.1.5. Image Detector and Field of View
FFF.2.1.5.1. User Scenario
FFF.2.1.5.2. Encoding Outline
FFF.2.1.5.3. Encoding Details
FFF.2.1.5.3.1. XA/XRF Acquisition Module Recommendations
FFF.2.1.5.3.2. X-Ray Image Intensifier Module Recommendations
FFF.2.1.5.3.3. X-Ray Detector Module Recommendations
FFF.2.1.5.3.4. X-Ray Field of View Macro Recommendations
FFF.2.1.5.3.5. XA/XRF Frame Pixel Data Properties Macro Recommendations
FFF.2.1.5.4. Examples
FFF.2.1.5.4.1. Field of View On Image Intensifier
FFF.2.1.5.4.2. Field of View On Digital Detector
FFF.2.1.6. Acquisitions With Contrast
FFF.2.1.6.1. User Scenario
FFF.2.1.6.2. Encoding Outline
FFF.2.1.6.3. Encoding Details
FFF.2.1.6.3.1. Enhanced Contrast/bolus Module Recommendations
FFF.2.1.6.3.2. Contrast/bolus Usage Macro Recommendations
FFF.2.1.6.4. Example
FFF.2.1.7. Acquisition Parameters For X-Ray Generation (kVp, mA, …)
FFF.2.1.7.1. User Scenario
FFF.2.1.7.2. Encoding Outline
FFF.2.1.7.3. Encoding Details
FFF.2.1.7.3.1. XA/XRF Acquisition Module Recommendations
FFF.2.1.7.3.2. Frame Content Macro Recommendations
FFF.2.1.7.3.3. X-Ray Frame Acquisition Macro Recommendations
FFF.2.1.7.4. Example
FFF.2.2. Review
FFF.2.2.1. Variable Frame-rate Acquisition With Skip Frames
FFF.2.2.1.1. User Scenario
FFF.2.2.1.2. Encoding Outline
FFF.2.2.1.3. Encoding Details
FFF.2.2.1.3.1. XA/XRF Multi-frame Presentation Module Recommendations
FFF.2.2.1.4. Example
FFF.2.3. Display
FFF.2.3.1. Standard Pipeline With Enhanced XA
FFF.2.3.1.1. User Scenario
FFF.2.3.1.2. Encoding Outline
FFF.2.3.1.3. Encoding Details
FFF.2.3.1.3.1. Enhanced XA/XRF Image Module Recommendations
FFF.2.3.1.3.2. XA/XRF Multi-frame Presentation Module Recommendations
FFF.2.3.1.3.3. Frame VOI LUT Macro Recommendations
FFF.2.3.1.3.4. Pixel Intensity Relationship LUT Macro Recommendations
FFF.2.3.1.3.5. XA/XRF Frame Pixel Data Properties Macro Recommendations
FFF.2.3.1.4. Example
FFF.2.3.2. Mask Subtraction
FFF.2.3.2.1. User Scenario
FFF.2.3.2.2. Encoding Outline
FFF.2.3.2.3. Encoding Details
FFF.2.3.2.3.1. Mask Module Recommendations
FFF.2.3.2.3.2. XA/XRF Multi-frame Presentation Module Recommendations
FFF.2.3.2.4. Examples
FFF.2.3.3. Pixel-shift
FFF.2.3.3.1. User Scenario
FFF.2.3.3.2. Encoding Outline
FFF.2.3.3.3. Encoding Details
FFF.2.3.3.3.1. Mask Module Recommendations
FFF.2.3.3.3.2. Frame Pixel Shift Macro Recommendations
FFF.2.3.3.4. Examples
FFF.2.3.3.4.1. Usage of Pixel Shift Macro in Shared Context
FFF.2.3.3.4.2. Usage of Pixel Shift Macro in "per Frame" Context
FFF.2.3.3.4.3. Usage of Pixel Shift Macro in "per Frame" Context For Multiple Shifts
FFF.2.4. Processing
FFF.2.4.1. Projection Pixel Calibration
FFF.2.4.1.1. User Scenario
FFF.2.4.1.2. Encoding Outline
FFF.2.4.1.3. Encoding Details
FFF.2.4.1.3.1. XA/XRF Acquisition Module Recommendations
FFF.2.4.1.3.2. XA/XRF Frame Pixel Data Properties Macro Recommendations
FFF.2.4.1.3.3. X-Ray Projection Pixel Calibration Macro Recommendations
FFF.2.4.1.3.4. X-Ray Geometry Macro Recommendations
FFF.2.4.1.4. Example
FFF.2.4.2. Image Derivation and Pixel Data Properties
FFF.2.4.2.1. User Scenario
FFF.2.4.2.2. Encoding Outline
FFF.2.4.2.3. Encoding Details
FFF.2.4.2.3.1. Enhanced XA/XRF Image Module Recommendations
FFF.2.4.2.3.2. Derivation Image Macro Recommendations
FFF.2.4.2.3.3. Pixel Intensity Relationship LUT Macro Recommendations
FFF.2.4.2.3.4. XA/XRF Frame Characteristics Macro Recommendations
FFF.2.4.2.3.5. XA/XRF Frame Pixel Data Properties Macro Recommendations
FFF.2.4.2.4. Examples
FFF.2.4.2.4.1. Various Successive Derivations
FFF.2.4.2.4.2. Derivation by Applying A Square Root Transformation
FFF.2.5. Registration
FFF.2.5.1. Tracking An Object of Interest On Multiple 2d Images
FFF.2.5.1.1. User Scenario
FFF.2.5.1.2. Encoding Outline
FFF.2.5.1.3. Encoding Details
FFF.2.5.1.3.1. Image Pixel Module Recommendations
FFF.2.5.1.3.2. XA/XRF Acquisition Module Recommendations
FFF.2.5.1.3.3. X-Ray Detector Module Recommendations
FFF.2.5.1.3.4. X-Ray Field of View Macro Recommendations
FFF.2.5.1.3.5. X-Ray Isocenter Reference System Macro Recommendations
FFF.2.5.1.3.6. X-Ray Geometry Macro Recommendations
FFF.2.5.1.3.7. XA/XRF Frame Pixel Data Properties Macro Recommendations
FFF.2.5.1.4. Example
GGG. Unified Worklist and Procedure Step - UPS (Informative)
GGG.1. Introduction
GGG.2. Implementation Examples
GGG.2.1. Typical SOP Class Implementations
GGG.2.2. Typical Pull Workflow
GGG.2.3. Reporting Workflow With "hand-off"
GGG.2.4. Third Party Cancel
GGG.2.5. Radiation Therapy Dose Calculation Push Workflow
GGG.2.6. X-Ray Clinic Push Workflow
GGG.2.7. Other Examples
GGG.3. Other Features
GGG.3.1. What Was Scheduled Vs. What Was Performed
GGG.3.2. Complex Procedure Steps
GGG.3.3. Gift Subscriptions
HHH. Transition from WADO to RESTful Services (Informative)
HHH.1. Request and Response Parameters
HHH.1.1. Request Parameters
HHH.1.2. Response Parameters
HHH.1.2.1. URI WADO-URI
HHH.1.2.2. Retired
HHH.1.2.3. WADO-RS
HHH.1.2.4. STOW-RS
HHH.2. Web Services Implementation
HHH.3. Uses for Web Services
HHH.3.1. General Requirements
HHH.3.2. Analysis of Use Cases
HHH.3.3. Description of The Use Cases
HHH.3.3.1. URI Based WADO Use Case
HHH.3.3.2. DICOM (Encoded Content) Requester
HHH.3.3.3. Rendered (JPEG/PDF) Requester
HHH.3.3.4. Metadata (XML Without Pixel Data, Waveform Data, etc.) Requester
HHH.3.3.5. DICOM Requester
HHH.3.3.6. Frame Pixel Data Requester
HHH.3.3.7. Bulk Data Requester
HHH.3.3.8. Metadata Requester
HHH.3.3.9. DICOM Creator
HHH.3.3.10. Metadata and Bulk Data Creator
HHH.4. Uses For QIDO Services
HHH.4.1. General Requirements
HHH.4.2. Analysis of Use Cases
HHH.4.2.1. Search From EMR
HHH.4.2.2. Populating FHIR Resources
HHH.4.2.3. Worklist in Viewer
HHH.4.2.4. Multiple Systems Query
HHH.4.2.5. Clinical Reconstruction
HHH.4.2.6. Mobile Device Access
HHH.4.3. Description of The Use Cases
HHH.4.3.1. XML Study Search Use Case
HHH.4.3.2. XML Study, Series and Instance Search Use Case
HHH.4.3.3. JSON Use Case
HHH.5. Retired
HHH.6. Retired
HHH.7. Uses for Server Options Services
HHH.7.1. WADL Example (XML)
III. Ophthalmic Thickness Map Use Cases (Informative)
III.1. Introduction
III.2. Macular Retinal Thickness Example
III.3. RNFL Example
III.4. Diabetic Macular Edema Example
III.5. Glaucoma Example
III.6. Retinal Thickness Definition
III.7. Thickness Calculations Between Various Devices
JJJ. Optical Surface Scan
JJJ.1. General Information
JJJ.2. One Single Shot Without Texture Acquisition As Point Cloud
JJJ.3. One Single Shot With Texture Acquisition As Mesh
JJJ.4. Storing Modified Point Cloud With Texture As Mesh
JJJ.5. Multishot Without Texture As Point Clouds and Merged Mesh
JJJ.6. Multishot With Two Texture Per Point Cloud
JJJ.7. Using Colored Vertices Instead of Texture
JJJ.8. 4D Surface Data Analysis
JJJ.9. Referencing A Texture From Another Series
KKK. Use-cases For Conversion of Classic Single Frame Images to Legacy Converted Enhanced Multi-frame Images (Informative)
KKK.1. Introduction
KKK.2. Enhanced Legacy Converted Image Storage IODs
KKK.3. Heterogeneous Environment
KKK.4. Compatibility With Modality Association Negotiation
KKK.5. Query and Retrieval
KKK.6. Referential Integrity
KKK.7. Persistence and Determinism
KKK.8. Source References
KKK.9. Uncertainty Principle
LLL. Conversion of Single Frame Images to Legacy Converted Enhanced Multi-frame Images (Informative)
LLL.1. Introduction
LLL.2. Simple CT Example
LLL.2.1. Images
LLL.2.1.1. First Slice As Classic Image
LLL.2.1.2. Second Slice As Classic Image
LLL.2.1.3. Legacy Converted Enhanced Image Containing Both Slices
LLL.2.2. Presentation States
LLL.2.2.1. Presentation State Referencing Classic Image That Contains The First Slice
LLL.2.2.2. Presentation State Referencing First Slice in Legacy Converted Enhanced Image
MMM. Query and Retrieval of Legacy Converted Enhanced Multi-frame Images (Informative)
MMM.1. Introduction
MMM.2. CT Example with Images and Presentation States
MMM.2.1. C-FIND and C-MOVE At Study Level With Classic View
MMM.2.2. C-FIND and C-MOVE at Study Level with Enhanced View
NNN. Corneal Topography and Tomography Maps (Informative)
NNN.1. Introduction
NNN.2. Corneal Topography Scales and Color Palettes
NNN.3. Corneal Topography Examples
NNN.4. Contact Lens Fitting Examples
NNN.5. Wavefront Map Example
OOO. Radiopharmaceutical Radiation Dose Structured Report (Informative)
OOO.1. Purpose of This Annex
OOO.2. Real-World Nuclear Medicine and PET Radiopharmaceutical Radiation Dose (RRD) SR Workflow
OOO.3. Real-World Radiopharmaceutical and Radiopharmaceutical Components Identification
PPP. Examples of Communication of Display Parameters (Informative)
PPP.1. The Relationship Between AE and Display System
PPP.2. Examples of Message Sequencing
PPP.2.1. Example of Retrieval of Status and Configuration From Display Systems
PPP.3. Examples of Display System SOP Class
PPP.3.1. An Example of A Typical Display System
PPP.3.2. An Example of A Tablet Display
QQQ. Parametric Maps (Informative)
QQQ.1.
QQQ.1.1.
RRR. Measurement Report SR Document for Planar and Volumetric ROI (Informative)
RRR.1. Measurement Report SR Document Volumetric ROI on CT Example
RRR.2. Measurement Report SR Document Volumetric ROI on CT Example
RRR.3. Measurement Report SR Document Planar ROI on DCE-MR Tracer Kinetic Model Example
RRR.4. Measurement Report SR Document Volumetric and SUV ROI on FDG PET Example
RRR.5. Measurement Report SR Document Volumetric ROI with RECIST Linear Distance Specified by Coordinates on CT Example
SSS. Use of Image Libraries in SR Documents (Informative)
SSS.1. Image Library for PET-CT Example
TTT. X-Ray 3D Angiographic Image Encoding Examples (Informative)
TTT.1. General Concepts of X-Ray 3D Angiography
TTT.1.1. Process of Creating An X-Ray 3D Angiography
TTT.1.1.1. Acquisition of 2D Projections
TTT.1.1.2. 3D Reconstruction
TTT.1.2. X-Ray 3D Angiographic Real World Entities Relationships
TTT.1.3. X-Ray 3D Angiographic Pixel Data Characterization
TTT.2. Application Cases
TTT.2.1. Case #1: One Rotation, One 2D Instance, One Reconstruction, One X-Ray 3D Instance
TTT.2.1.1. User Scenario
TTT.2.1.2. Encoding Outline
TTT.2.1.3. Encoding Details
TTT.2.1.3.1. X-Ray 3D Angiographic Image IOD
TTT.2.1.3.1.1. General and Enhanced Series Modules Recommendations
TTT.2.1.3.1.2. Frame of Reference Module Recommendations
TTT.2.1.3.1.3. General and Enhanced General Equipment Modules Recommendations
TTT.2.1.3.1.4. Image Pixel Module Recommendations
TTT.2.1.3.1.5. Enhanced Contrast/Bolus Module Recommendations
TTT.2.1.3.1.5.1. Differences between XA and Enhanced XA
TTT.2.1.3.1.6. Multi-frame Dimensions Module Recommendations
TTT.2.1.3.1.7. Patient Orientation Module Recommendations
TTT.2.1.3.1.8. X-Ray 3D Image Module Recommendations
TTT.2.1.3.1.9. X-Ray 3D Angiographic Image Contributing Sources Module Recommendations
TTT.2.1.3.1.10. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.1.3.1.11. Pixel Measures Macro Recommendations
TTT.2.1.3.1.12. Frame Content Macro Recommendations
TTT.2.1.3.1.13. Derivation Image Macro Recommendations
TTT.2.1.3.1.14. Frame Anatomy Macro Recommendations
TTT.2.1.3.1.15. X-Ray 3D Frame Type Macro Recommendations
TTT.2.1.4. Example
TTT.2.1.4.1. Reconstruction Using All Frames of An Enhanced XA Image
TTT.2.2. Case #2: Reconstruction From A Sub-set of Projection Frames
TTT.2.2.1. User Scenario
TTT.2.2.2. Encoding Outline
TTT.2.2.3. Encoding Details
TTT.2.2.3.1. X-Ray 3D Angiographic Image IOD
TTT.2.2.3.1.1. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.2.3.1.2. Frame Content Macro Recommendations
TTT.2.2.4. Example
TTT.2.3. Case #3: Reconstruction From A Sub-region of All Image Frames
TTT.2.3.1. User Scenario
TTT.2.3.2. Encoding Outline
TTT.2.3.3. Encoding Details
TTT.2.3.3.1. X-Ray 3D Angiographic Image IOD
TTT.2.3.3.1.1. Frame of Reference Module Recommendations
TTT.2.3.3.1.2. Pixel Measures Macro Recommendations
TTT.2.3.3.1.3. Plane Position (Patient) Macro Recommendations
TTT.2.3.3.1.4. Plane Orientation (Patient) Macro Recommendations
TTT.2.3.3.1.5. Frame Content Macro Recommendations
TTT.2.3.3.1.6. Frame Anatomy Macro Recommendations
TTT.2.3.4. Example
TTT.2.4. Case #4: Multiple Rotations, One Or More 2D Instances, One Reconstruction, One X-Ray 3D Instance
TTT.2.4.1. User Scenario
TTT.2.4.2. Encoding Outline
TTT.2.4.3. Encoding Details
TTT.2.4.3.1. 2D X-Ray Angiographic Image IOD
TTT.2.4.3.1.1. Frame of Reference Module Recommendations
TTT.2.4.3.2. X-Ray 3D Angiographic Image IOD
TTT.2.4.3.2.1. X-Ray 3D Angiographic Image Contributing Sources Module Recommendations
TTT.2.4.3.2.2. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.4.3.2.3. Frame Content Macro Recommendations
TTT.2.4.4. Example
TTT.2.5. Case #5: One Rotation, One 2D Instance, Multiple Reconstructions, One X-Ray 3D Instance
TTT.2.5.1. User Scenario
TTT.2.5.2. Encoding Outline
TTT.2.5.3. Encoding Details
TTT.2.5.3.1. 2D X-Ray Angiographic Image IOD
TTT.2.5.3.2. X-Ray 3D Angiographic Image IOD
TTT.2.5.3.2.1. Image Pixel Module Recommendations
TTT.2.5.3.2.2. Multi-frame Dimension Module Recommendations
TTT.2.5.3.2.3. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.5.3.2.4. X-Ray 3D Reconstruction Module Recommendations
TTT.2.5.3.2.5. Frame Content Macro Recommendations
TTT.2.5.3.2.6. Cardiac Synchronization Macro Recommendations
TTT.2.5.3.2.7. X-Ray 3D Frame Type Macro Recommendations
TTT.2.5.4. Example
TTT.2.6. Case #6: Two Rotations, Two 2D Instances, Two Reconstructions, Two X-Ray 3D Instances
TTT.2.6.1. User Scenario
TTT.2.6.2. Encoding Outline
TTT.2.6.3. Encoding Details
TTT.2.6.3.1. X-Ray 3D Angiographic Image IOD
TTT.2.6.3.1.1. Frame of Reference Module Recommendations
TTT.2.6.3.1.2. Patient Orientation Module Recommendations
TTT.2.6.3.1.3. Pixel Measures Macro Recommendations
TTT.2.6.3.1.4. Plane Position (Patient) Macro Recommendations
TTT.2.6.3.1.5. Plane Orientation (Patient) Macro Recommendations
TTT.2.6.4. Example
TTT.2.7. Case #7: Spatial Registration of 3D X-Ray Angiography With Enhanced XA
TTT.2.7.1. User Scenario
TTT.2.7.2. Encoding Outline
TTT.2.7.3. Encoding Details
TTT.2.7.3.1. Enhanced X-Ray Angiographic Image IOD
TTT.2.7.3.2. X-Ray 3D Angiographic Image IOD
TTT.2.7.3.2.1. Frame of Reference Module Recommendations
TTT.2.7.3.2.2. Patient Orientation Module
TTT.2.7.3.2.3. Image - Equipment Coordinate Relationship Module
TTT.2.7.3.2.4. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.7.4. Example
UUU. Ophthalmology Use Cases (Informative)
UUU.1. Wide Field Ophthalmic Use Cases
UUU.1.1. Clinical Use Cases
UUU.1.1.1. Routine Wide Field Image For Surveillance For Diabetic Retinopathy
UUU.1.1.2. Patient With Myopia
UUU.1.1.3. Patient With Diabetes
UUU.1.1.4. Patient With Age Related Macular Degeneration (ARMD)
UUU.1.2. Stereographic Projection (SP)
UUU.1.2.1. Distance
UUU.1.2.2. Area
UUU.1.2.3. Angle
UUU.1.3. Introduction to 2D to 3D Map For Wide Field Ophthalmic Photography
UUU.1.3.1. Measuring the Length of a Path
UUU.1.3.2. Shortest Distance Between Two Points
UUU.1.3.3. Computing The Area of A Region of Interest
UUU.1.3.4. Transformation Method Code Sequence
UUU.2. Relationship Between Ophthalmic Tomography Image and Ophthalmic Optical Coherence Tomography B-scan Volume Analysis IODs
UUU.3. Ophthalmic Tomography Angiography Examples
UUU.3.1. Clinical Examples
UUU.3.1.1. Diabetic Macular Ischemia
UUU.3.1.2. Age Related Macular Degeneration
UUU.3.1.3. Branch Retinal Vein Occlusion
UUU.3.2. Research Examples
UUU.3.2.1. Proliferative Diabetic Retinopathy
VVV. Segmentation of Images of Groups of Animals (Informative)
VVV.1. Use Case
VVV.1.1. Reference Attributes
VVV.1.1.1. Acquired Images of Multiple Animals
VVV.1.1.2. Segmentation Instances
VVV.1.1.3. Derived Images of Single Animals
VVV.1.2. Propagation of Composite Context
VVV.1.3. Propagation of History
WWW. Tractography Results (Informative)
WWW.1. Introduction
WWW.2. Encoding Example
XXX. Volumetric Presentation States (Informative)
XXX.1. Scope of Volumetric Presentation States
XXX.1.1. Volumetric Presentation States vs. Softcopy Presentation States
XXX.1.2. Image Creation Process
XXX.1.3. Volumetric Presentation State Display Consistency
XXX.2. Volumetric Presentation States vs. Static Derived Images
XXX.2.1. Static Derived Images
XXX.2.2. Volumetric Presentation States
XXX.2.3. Both Volumetric Presentation States and Linked Static Images
XXX.3. Use Cases
XXX.3.1. Simple Planar MPR View
XXX.3.1.1. User Scenario
XXX.3.1.2. Encoding Outline
XXX.3.1.3. Encoding Details
XXX.3.1.3.1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.1.3.2. Volumetric Presentation State Display Module Recommendations
XXX.3.2. Spatially Related Views (e.g., Orthogonal)
XXX.3.2.1. User Scenario
XXX.3.2.2. Encoding Outline
XXX.3.2.3. Encoding Details
XXX.3.2.3.1. Volumetric Presentation State Identification Module Recommendations
XXX.3.2.3.2. Volumetric Presentation State Relationship Module Recommendations
XXX.3.2.3.3. Presentation View Description Module Recommendations
XXX.3.3. Replacing Set of Derived Images with Multiple Volumetric Presentation States
XXX.3.3.1. User Scenario
XXX.3.3.2. Encoding Outline
XXX.3.3.3. Encoding Details
XXX.3.3.3.1. Volumetric Presentation State Identification Module Recommendations
XXX.3.4. Replacing Set of Derived Images With Single VPS Using Crosscurve Animation
XXX.3.4.1. User Scenario
XXX.3.4.2. Encoding Outline
XXX.3.4.3. Encoding Details
XXX.3.4.3.1. Presentation Animation Module Recommendations
XXX.3.5. Volumetric Annotations (example: Trajectory Planning)
XXX.3.5.1. User Scenario
XXX.3.5.2. Encoding Outline
XXX.3.5.3. Encoding Details
XXX.3.5.3.1. Volumetric Graphic Annotation Module Recommendations
XXX.3.6. Highlighting Areas of Interest in MPR View
XXX.3.6.1. User Scenario
XXX.3.6.2. Encoding Outline
XXX.3.6.3. Encoding Details
XXX.3.6.3.1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.6.3.2. Volumetric Presentation State Cropping Module Recommendations
XXX.3.6.3.3. Volumetric Presentation State Display Module Recommendations
XXX.3.7. Ultrasound Color Flow MPR
XXX.3.7.1. User Scenario
XXX.3.7.2. Encoding Outline
XXX.3.7.3. Encoding Details
XXX.3.7.3.1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.7.3.2. Presentation View Description Module Recommendations
XXX.3.7.3.3. Multi-Planar Reconstruction Geometry Module Recommendations
XXX.3.7.3.4. Volumetric Presentation State Display Module Recommendations
XXX.3.8. Blending with Functional Data, e.g., PET/CT or Perfusion Data
XXX.3.8.1. User Scenario
XXX.3.8.2. Encoding Outline
XXX.3.8.3. Encoding Details
XXX.3.8.3.1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.8.2.3. Volumetric Presentation State Display Module Recommendations
XXX.3.9. Stent Stabilization
XXX.3.9.1. User Scenario
XXX.3.9.2. Encoding Outline
XXX.3.9.3. Encoding Details
XXX.3.9.3.1. Volumetric Presentation State Identification Module Recommendations
XXX.3.9.3.2. Volumetric Presentation State Relationship Module Recommendations
XXX.3.9.3.3. Presentation View Description Module Recommendations
XXX.3.9.3.4. Presentation Animation Module Recommendations
XXX.3.10. Highlighting Areas of Interest in Volume Rendered View
XXX.3.10.1. User Scenario
XXX.3.10.2. Encoding Outline
XXX.3.10.3. Encoding Details
XXX.3.10.3.1. Volume Presentation State Relationship Module Recommendations
XXX.3.10.3.2. Volume Render Geometry Module Recommendations
XXX.3.10.3.3. Render Shading Module Recommendations
XXX.3.10.3.4. Render Display Module Recommendations
XXX.3.10.3.5. Volumetric Graphic Annotation Module Recommendations
XXX.3.10.3.6. Graphic Layer Module Recommendations
XXX.3.11. Colorized Volume Rendering of Segmented Volume Data
XXX.3.11.1. User Scenario
XXX.3.11.2. Encoding Outline
XXX.3.11.3. Encoding Details
XXX.3.11.3.1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.11.3.2. Volume Render Geometry Module Recommendations
XXX.3.11.3.3. Render Shading Module Recommendations
XXX.3.11.3.4. Render Display Module Recommendations
XXX.3.12. Liver Resection Planning
XXX.3.12.1. User Scenario
XXX.3.12.2. Encoding Outline
XXX.3.12.3. Encoding Details
XXX.3.12.3.1. Volumetric Presentation State Relatonship Module Recommendations
XXX.3.12.3.2. Volume Cropping Module Recommendations
XXX.3.12.3.3. Volume Cropping Module Recommendations
XXX.3.12.3.4. Render Shading Module Recommendations
XXX.3.12.3.5. Render Display Module Recommendations
XXX.4. Uses of Presentation View Description in the Identification Module
XXX.4.1. Hanging Protocols
XXX.4.2. Structured Displays
XXX.4.3. Ad Hoc Display Layout
XXX.5. Compositing and the Use of Weighting Transfer Functions
XXX.5.1. Fixed Proportional Compositing
XXX.5.2. Partially Transparent A Over B Compositing
XXX.5.3. Pass-through Compositing
XXX.5.4. Threshold Compositing
XXX.6. Usage of the Classification and Compositing Components
YYY. Preclinical Small Animal Imaging Acquisition Context (Informative)
YYY.1.
YYY.1.1. Example of housing and anesthesia for PET-CT
YYY.1.2. Example of exogenous substance administration to encode tumor cell line
YYY.1.3. Informative References
ZZZ. Content Assessment (Informative)
ZZZ.1. RT Plan Treatment Assessment Use Case
AAAA. Protocol Storage Examples and Concepts (Informative)
AAAA.1. Protocol Storage Concepts
AAAA.1.1. Use Cases
AAAA.1.2. Workflow
AAAA.1.3. XA Workflow
AAAA.2. CT Routine Adult Head Protocol
AAAA.2.1. Common Context
AAAA.2.2. Scantech Industries
AAAA.2.3. Acme
AAAA.3. CT Protocol For Tumor Volumetric Measurements
AAAA.3.1. Common Context
AAAA.3.2. Acme
AAAA.4. Single XA Device For Acquisition and Reconstruction
AAAA.4.1. Common Context
AAAA.4.2. Angiotech Industries
AAAA.5. Two XA Devices For Acquisition and Reconstruction
AAAA.5.1. Acquisition and Storage Protocol
AAAA.5.2. Rotational XA Image
AAAA.5.3. Reconstruction Protocol
BBBB. Color information for Parametric Object (Informative)
BBBB.1. Introduction
BBBB.2. Encoding Example
CCCC. Populating The Simplified Echo Procedure Report Template (Informative)
CCCC.1. Structure Overview
CCCC.2. Use Cases
CCCC.2.1. Use Case 1: Store and Extract Specific Measurement
CCCC.2.1.1. Configuration
CCCC.2.1.2. Operation
CCCC.2.2. Use Case 2: Store and Process Measurements
CCCC.2.2.1. Configuration
CCCC.2.2.2. Operation
CCCC.3. Differences of Note Between TID_5200 and TID 5300
CCCC.3.1. Report Sections
CCCC.3.2. Finding Observation Type
CCCC.4. Usage Guidance
CCCC.4.1. Finding Site
CCCC.4.2. Measured Property
CCCC.4.3. Image View
CCCC.4.4. Cardiac Cycle Point
CCCC.4.5. Measurement Method
CCCC.4.6. Selection Status
CCCC.4.7. Additional Modifiers
CCCC.5. Example
DDDD. Types of Echocardiography Measurement Specifications (Informative)
DDDD.1. Overview
DDDD.2. Specification of Standard Measurements
DDDD.3. Specification of Non-standard Measurements
DDDD.3.1. Acquiring the Intended Real-World Quantity
DDDD.3.2. Interpreting the Non-Standard Measurement
DDDD.3.3. Determining Equivalence of Measurements from Different Sources
DDDD.4. Specification of Adhoc (One-Time) Measurements
EEEE. Encoding Diffusion Model Parameters for Parametric Maps and ROI Measurements (Informative)
EEEE.1. Encoding Diffusion Model Parameters for Parametric Maps
EEEE.2. Encoding Diffusion Model Parameters for ROIs in Measurement Report SR Documents
EEEE.3. Relationship of Derived Diffusion Model Parametric Maps to Diffusion Weighted Source Images
EEEE.4. Image and Frame of Derived Diffusion Model Parametric Maps
EEEE.5. Informative References
FFFF. Advanced Blending Presentation State Storage Encoding Example (Informative)
FFFF.1. Introduction
FFFF.2. Example
FFFF.3. Encoding Example
GGGG. Patient Radiation Dose Structured Report Document (Informative)
GGGG.1. Skin Dose Map Example
GGGG.2. Dual-source CT Organ Radiation Dose Example
HHHH. Protocol Approval Examples and Concepts (Informative)
IIII. Encapsulated STL (Informative)
IIII.1. Example of CT Derived Encapsulated STL
IIII.2. Example of Fused CT/MR Derived Encapsulated STL
JJJJ. Multi-energy CT Imaging (Informative)
JJJJ.1. Domain of Application
JJJJ.2. Use Cases
JJJJ.3. Classification of Multi-energy Images
JJJJ.4. Presentation of Multi-energy Images by Legacy Display Systems
JJJJ.5. Examples of Implementation
JJJJ.5.1. Examples For Objective Image Family
JJJJ.5.1.1. Example Multiple Physical Sources and Multiple Physical Detectors
JJJJ.5.1.2. Example Single Source Multi-layer Detector
JJJJ.5.2. Examples For Material Quantification Image Family
JJJJ.5.2.1. Example Switching Source Integrating Detector
JJJJ.5.3. Examples For Enhanced CT Image Multi-Frame, Multi-Energy
JJJJ.5.3.1. Example For Mixed Multi-Energy Image Types
KKKK. Encoding Quantitative Image Family Parameters (Informative)
KKKK.1. Encoding of Quantitative Image Family Parameters With RWVM
LLLL. Imaging Agent Administration Report Template (Informative)
LLLL.1. Purpose of this Annex
LLLL.2. Use Cases
LLLL.2.1. Use Case 1 - Manual Bolus Injection
LLLL.2.2. Use Case 2 - Automatic Infusion Pump - Contrast Reporting
LLLL.2.3. Use Case 3 - Protocoling
LLLL.2.4. Use Case 4 - Consumption of the Contrast Information by Reporting Systems for Automated Documentation
LLLL.3. Informative References
MMMM. Performed Imaging Agent Administration Structured Report (Informative)
MMMM.1. Performed Imaging Agent Administration Structured Report
NNNN. Mapping of Visible Light Photography Related Attributes to EXIF and TIFF/EP Tags (Informative)
NNNN.1. Mapping
NNNN.2. Informative References
OOOO. Encoding Perfusion Parameters for Parametric Maps and ROI Measurements (Informative)
OOOO.1. Encoding Relative Cerebral Tumor Blood Flow for Parametric Maps
OOOO.2. Encoding Relative Cerebral Tumor Blood Volume for ROIs in Measurement Report SR Documents
OOOO.5. Informative References
PPPP. Real-Time Video Use Cases (Informative)
PPPP.1. Introduction
PPPP.2. Use Case: Duplicating Video On Additional Monitors
PPPP.3. Use Case: Post Review by Senior
PPPP.4. Use Case: Automatic Display in Operating Room (or)
PPPP.5. Use Case: Augmented Reality
PPPP.6. Use Case: Robotic Aided Surgery
PPPP.7. Example of DICOM Real-Time Video Implementation
PPPP.8. Storage Considerationa
PPPP.8.1. Creating IOD From DICOM-RTV Streams
PPPP.8.2. Streaming DICOM-RTV From Stored IOD
PPPP.9. Example of Engineering Implementation
PPPP.20. Transmitting a Stereo Video
QQQQ. Transport of Elementary Stream over IP (Informative)
RRRR. Encapsulated OBJ, 3D Model Grouping, & Color (Informative)
RRRR.1. Overview
RRRR.2. Example Encoding of OBJ & MTL
RRRR.2.1. Example A
RRRR.3. Manufacturing Model Grouping, Color & Opacity
SSSS. Neurophysiology Waveforms
SSSS.1. Purpose of This Annex
SSSS.1.1. Electroencephalography
SSSS.1.2. Electromyography
SSSS.1.3. Electrooculography
SSSS.1.4. Body Position
SSSS.1.5. Polysomnography
SSSS.1.5.1. Mapping of Polysomnographic Data to DICOM
SSSS.1.6. Considerations On Storing Large Data Recordings
SSSS.1.7. Example DICOM Routine Scalp EEG Waveform Object
TTTT. Dermoscopy (Informative)
TTTT.1. Measurements
TTTT.2. Frame of Reference
TTTT.3. Use Cases
TTTT.3.1. Use Case 1: Linking Dermoscopic Images to A Regional Image
TTTT.3.1.1. Potential acquisition workflow
TTTT.3.1.2. Considerations
TTTT.3.1.3. Potential display functionality
TTTT.3.2. Use Case 2: Longitudinal Lesion Tracking
TTTT.3.2.1. Potential workflow for the acquisition of lesion tracking information
TTTT.3.2.2. Considerations
TTTT.3.2.3. Potential workflow for the display of lesion tracking
UUUU. Radiation Dose Structured Reporting (Informative)
UUUU.1. Cone Beam CT (CBCT) Enhanced RDSR in TID 10040
VVVV. Microscopy Bulk Simple Annotations (Informative)
VVVV.1. Introduction
VVVV.2. Encoding Example
WWWW. Prostate Imaging Report SR Document
WWWW.1. Prostate Imaging Report SR Document with Minimal Content
WWWW.2. Application of the templates describing multiparametric MRI acquisition
WWWW.3. Application of the templates describing multiparametric MRI image quality
WWWW.4. Prostate MRI relevant patient information
WWWW.5. Complete Prostate Imaging Report SR Document
XXXX. Radiotherapy Examples
XXXX.1. RT Structure Set
XXXX.1.1. Coding RT ROI Interpreted Type Information
YYYY. Inventories (Informative)
YYYY.1. The DICOM Data Management Environment
YYYY.1.1. Inventories
YYYY.2. Repository Query
YYYY.2.1. Overview
YYYY.2.2. Record Key and Continuation
YYYY.2.3. Key Matching Attributes
YYYY.2.3.1Objects. Removed From Operational Use
YYYY.2.3.2. Access to Stored Objects
YYYY.2.3.3. Managed Metadata and Updated Metadata
YYYY.2.3.4. Study Update Datetime
YYYY.3. The Inventory Information Object
YYYY.3.1. Overview
YYYY.3.2. Scope of Inventory
YYYY.3.3. Inventory Instance Tree
YYYY.3.3.1. Scope and Completion Status
YYYY.3.3.2. Examples
YYYY.3.3.2.1. Serial Production
YYYY.3.3.2.2. Baseline and Increment
YYYY.3.3.2.3. Parallel Production
YYYY.3.3.2.4. Arbitrary Tree Structure
YYYY.3.3.2.5. Empty Inventory
YYYY.3.4. Access Mechanisms For Repository Data
YYYY.3.5. Additional Data Elements
YYYY.3.6. Producer vs. Consumer Implementation
YYYY.4. Related Services For Inventory SOP Instances
YYYY.4.1. Inventory Storage and Query/retrieve
YYYY.4.2. Inventory Creation Service
YYYY.4.3. Separability of Services
YYYY.5. Use Cases
YYYY.5.1. Migration and Consolidation
YYYY.5.2. Safety Backup
YYYY.5.3. Research
YYYY.5.4. Quality Assurance
YYYY.5.5. Wellness Check/Continuous Testing
YYYY.6. Security Considerations
YYYY.6.1. Access Control and Secure Transport
YYYY.6.1.1. Access Control in Production of Inventory
YYYY.6.2. File Format
YYYY.6.3. Network Protocols
YYYY.6.4. Application Validation
YYYY.6.5. Inventory Resource Use
YYYY.6.6. Encryption of Data At Rest
YYYY.6.7. Message Digest
YYYY.6.8. De-identification
YYYY.7. Operational Considerations
YYYY.7.1. Transforming Repository Query Responses into Inventory SOP Instances
YYYY.7.2. Using Non-DICOM Protocols
YYYY.7.3. Using Referenced Inventories
YYYY.7.4. Incremental Inventories
YYYY.7.5. Inventory Lifecycle Management
YYYY.7.6. Interactive Access to Inventory Content
YYYY.7.7. Multiple Application Entity Titles
YYYY.7.8. Multiple Patient IDs
YYYY.7.9. Metadata Updates
YYYY.7.9.1. Original Attributes Sequence
YYYY.7.10. Study Record Reconciliation
YYYY.7.10.1. Example - Deleted Study
YYYY.7.11. Key Attributes Unsupported For Matching
ZZZZ. Variable Modality LUT Softcopy Presentation State Storage (Informative)
ZZZZ.1. Example 1 - Pseudo-color Transformations to a Pseudo-color Reference Image
ZZZZ.2. Example 2 - Grayscale Transformations to a Pseudo-color Reference Image
ZZZZ.3. Example 3 - Pseudo-color Transformations to a Grayscale Reference Image
ZZZZ.4. Example 4 - Grayscale Transformations to a Grayscale Reference Image
AAAAA. Photoacoustic Imaging (Informative)
AAAAA.1. Introduction
AAAAA.2. Use Cases
AAAAA.2.1. Acquisition and Storage
AAAAA.2.2. Presentation and Review
AAAAA.2.2.1. Fusion Visualization With Complementary Imaging Modalities
AAAAA.2.3. Example Workflow
AAAAA.3. Acquisition Examples
AAAAA.3.1. Example 1: Photoacoustic Standalone Image
AAAAA.3.1.1. Photoacoustic Single Wavelength Standalone Image
AAAAA.3.1.2. Photoacoustic Dimension Index Sequence For Examples
AAAAA.3.1.3. Photoacoustic Standalone Image Per-Frame Example
AAAAA.3.2. Example 2: Photoacoustic/Ultrasound Coupled Acquisition
AAAAA.3.2.1. Photoacoustic Dimension Index Sequence For Examples
AAAAA.3.2.2. Ultrasound Dimension Index Sequence For Examples
AAAAA.3.2.3. Photoacoustic/Ultrasound Coupled Acquisition Per-Frame Example
AAAAA.3.3. Example 3: Stationary Tomographic 3D Photoacoustic/Ultrasound Coupled Acquisition
AAAAA.3.3.1. Photoacoustic and Ultrasound Dimension Index Sequence For Examples
AAAAA.3.3.2. Stationary Tomographic 3D Photoacoustic/Ultrasound Per-Frame Example
AAAAA.3.4. Photoacoustic Attribute Example Values
AAAAA.4. Real World Display Examples
AAAAA.5. References
BBBBB. Cutaneous Confocal Microscopy (Informative)
BBBBB.1. Cutaneous Confocal Microscopy Imaging Study
BBBBB.2. Cutaneous Confocal Microscopy Raw Data
BBBBB.3. Pre-rendered Pseudo Color Images
BBBBB.4. Correlation of Macroscopic and Confocal Images
BBBBB.4.1. In-Vivo Confocal Microscopy Imaging Acquisition Method
BBBBB.4.2. Ex-Vivo Confocal Microscopy Imaging Acquisition Method
BBBBB.5. Specimen Preparation
BBBBB.6. Series Organization
BBBBB.7. Encoding of Confocal Microscopsy Tiled Pyramidal Images
BBBBB.8. Frame of Reference Module

List of Figures

A-1. Standard Anatomic Position Directions - Whole Body
A-2. Standard Anatomic Position Directions - Hand
A-3. Standard Anatomic Position Directions - Foot
A-4. Views - Anterior and Lateral
A-5. Planes - Whole Body - Transverse
A-6. Planes - Whole Body - Sagittal
A-7. Planes - Whole Body - Coronal
A-8. Planes - Hand
A-9. Planes - Double Obliquity
A-10. Standard Anatomic Position Directions - Paired Hands
A-11. Breast - MedioLateral Oblique
A-12. Panoramic Zonogram Directions
B-1. Functional View - Modality Worklist and Modality Performed Procedure Step Management in the Context of DICOM Service Classes
B-2. Relationship of the Original Model and the Extensions for Modality Worklist and Modality Performed Procedure Step Management
C.4-1. Waveform Acquisition Model
C.5-1. DICOM Waveform Information Model
E.1-1. Top Levels of Mammography CAD SR Content Tree
E.1-2. Summary of Detections and Analyses Levels of Mammography CAD SR Content Tree
E.1-3. Example of Individual Impression/Recommendation Levels of Mammography CAD SR Content Tree
E.2-1. Example of Use of Observation Context
E.3-1. Mammograms as Described in Example 1
E.3-2. Mammograms as Described in Example 2
E.3-3. Content Tree Root of Example 2 Content Tree
E.3-4. Image Library Branch of Example 2 Content Tree
E.3-5. CAD Processing and Findings Summary Bifurcation of Example 2 Content Tree
E.3-6. Individual Impression/Recommendation 1.2.1 from Example 2 Content Tree
E.3-7. Single Image Finding Density 1.2.1.2.6 from Example 2 Content Tree
E.3-8. Single Image Finding Density 1.2.1.2.7 from Example 2 Content Tree
E.3-9. Individual Impression/Recommendation 1.2.2 from Example 2 Content Tree
E.3-10. Individual Impression/Recommendation 1.2.3 from Example 2 Content Tree
E.3-11. Individual Impression/Recommendation 1.2.4 from Example 2 Content Tree
E.3-12. Single Image Finding 1.2.4.2.7 from Example 2 Content Tree
E.3-13. Single Image Finding 1.2.4.2.8 from Example 2 Content Tree
E.3-14. Summary of Detections Branch of Example 2 Content Tree
E.3-15. Summary of Analyses Branch of Example 2 Content Tree
E.3-16. Mammograms as Described in Example 3
E.4-1. Free-response Receiver-Operating Characteristic (FROC) curve
F.1-1. Top Levels of Chest CAD SR Content Tree
F.1-2. Example of CAD Processing and Findings Summary Sub-Tree of Chest CAD SR Content Tree
F.2-1. Example of Use of Observation Context
F.3-1. Chest Radiograph as Described in Example 1
F.3-2. Chest Radiograph as Described in Example 2
F.3-3. Content Tree Root of Example 2 Content Tree
F.3-4. Image Library Branch of Example 2 Content Tree
F.3-5. CAD Processing and Findings Summary Portion of Example 2 Content Tree
F.3-6. Summary of Detections Portion of Example 2 Content Tree
F.3-8. Chest radiographs as Described in Example 3
F.3-9. Chest Radiograph and CT slice as described in Example 4
H-1. Workflow Diagram for Clinical Trials
I.1-1. Top Level Structure of Content Tree
I.3-1. Multiple Fetuses
I.4-1. Explicit Dependencies
I.5-1. Relationships to Images and Coordinates
I.6-1. OB Numeric Biometry Measurement group Example
I.6-2. Percentile Rank or Z-score Example
I.6-3. Estimated Fetal Weight
I.7-1. Selected Value Example
I.7-2. Selected Value with Mean Example
I.8-1. Ovaries Example
I.8-2. Follicles Example
K.3-1. Cardiac Stress-Echo Staged Protocol US Exam
K.5.5-1. Example of Uninterrupted Staged-Protocol Exam WORKFLOW
K.5.5-2. Example Staged-Protocol Exam with Unscheduled Follow-up Stages
K.5.5-3. Example Staged-Protocol Exam with Scheduled Follow-up Stages
L-1. Hemodynamics Report Structure
M.2-1. Vascular Numeric Measurement Example
N.1-1. Top Level Structure of Content
N.1-2. Echocardiography Measurement Group Example
N.5-1. IVUS Report Structure
O.1-1. Registration of Image SOP Instances
O.3-1. Stored Registration System Interaction
O.3-2. Interaction Scenario
O.3-3. Coupled Modalities
O.4-1. Spatial Registration Encoding
O.4-2. Deformable Spatial Registration Encoding
O.4-3. Spatial Fiducials Encoding
Q.1-1. Top Level of Breast Imaging Report Content Tree
Q.1-2. Breast Imaging Procedure Reported Content Tree
Q.1-3. Breast Imaging Report Narrative Content Tree
Q.1-4. Breast Imaging Report Supplementary Data Content Tree
Q.1-5. Breast Imaging Assessment Content Tree
R.1-1. System Installation with Pre-configured Configuration
R.1-2. Configuring a System when network LDAP updates are permitted
R.1-3. Configuring a system when LDAP network updates are not permitted
R.4-1. Configured Device Start up (Normal Start up)
T.1-1. Definition of Left and Right in the Case of Quantitative Arterial Analysis
T.2-1. Definition of Diameter Symmetry with Arterial Plaques
T.3-1. Landmark Based Wall Motion Regions
T.3-2. Example of Centerline Wall Motion Template Usage
T.3-3. Radial Based Wall Motion Region
T.5-1. Artery Horizontal
T.5-2. Artery 45º Angle
U.1.8-1. Anatomical Landmarks and References of the Left Ocular Fundus
U.2-1. Typical Sequence of Events
U.3-1. Schematic representation of the human eye
U.3-2. Tomography of the anterior segment showing a cross section through the cornea
U.3-3. Example tomogram of the retinal nerve fiber layer with a corresponding fundus image
U.3-4. Example of a macular scan showing a series of B-scans collected at six different angles
U.3-5. Example 3D reconstruction
U.3-6. Longitudinal OCT Image with Reference Image (inset)
U.3-7. Superimposition of Longitudinal Image on Reference Image
U.3-8. Transverse OCT Image
U.3-9. Correlation between a Transverse OCT Image and a Reference Image Obtained Simultaneously
U.3-10. Correspondence between Reconstructed Transverse and Longitudinal OCT Images
U.3-11. Reconstructed Transverse and Side Longitudinal Images
V.1-1. Spatial layout of screens for workstations in Example Scenario
V.1-2. Sequence diagram for Example Scenario
V.2-1. Hanging Protocol Internal Process Model
V.2-2. Example Process Flow
V.3-1. Chest X-Ray Hanging Protocol Example
V.4-1. Neurosurgery Planning Hanging Protocol Example
V.4.3-1. Group #1 is CT only display (current CT)
V.4.3-2. Group #2 is MR only display
V.4.3-3. Group #3 is combined MR & CT
V.4.3-4. Group #4 is combined CT new & CT old
V.6-1. Display Set Patient Orientation Example
X.1-1. Dictation/Transcription Reporting Data Flow
X.1-2. Reporting Data Flow with Image References
X.1-3. Reporting Data Flow with Image and Presentation/Annotation References
X.2-1. Transcribed Text Content Tree
X.2-2. Inputs to SR Basic Text Object Content Tree
X.3-1. CDA Section with DICOM Object References
Y-1. Linear Window Center and Width
Y-2. H-D Curve
Y-3. Sigmoid LUT
Z-1. Coordinates of a Point "P" in the Isocenter and Table coordinate systems
AA.3-1. Basic Dose Reporting
AA.3-2. Dose Reporting by Manual Data Entry
AA.3-3. Dose Reporting Processing
CC.1-1. Example of Storage Commitment Push Model SOP Class
CC.1-3. Example of Remote Storage of SOP Instances
CC.1-4. Example of Storage Commitment in Conjunction with Storage Media
DD.1-1. Modality Worklist Message Flow Example
FF.1-1. Top Level Structure of Content Tree
FF.2-1. CT/MR Cardiovascular Analysis Report
FF.2-2. Vascular Morphological Analysis
FF.2-3. Vascular Functional Analysis
FF.2-4. Ventricular Analysis
FF.2-5. Vascular Lesion
HH-1. Segment Sequence Structure and References
JJ.2-1. Surface Mesh Tetrahedron
NN.3-1. Extension of DICOM E-R Model for Specimens
NN.4-1. Sampling for one specimen per container
NN.4-2. Container with two specimens from same parent
NN.4-3. Sampling for two specimens from different ancestors
NN.4-4. Two specimens smears on one slide
NN.4-5. Sampling for TMA Slide
OO-1. Intra-oral Full Mouth Series Structured Display
OO-2. Cephalometric Series Structured Display
OO-3. Ophthalmic Retinal Study Structured Display
OO-4. OCT Retinal Study with Cross Section and Navigation Structured Display
OO-5. Stress Echocardiography Structured Display
OO-6. Stress-Rest Nuclear Cardiography Structured Display
OO-7. Mammography Structured Display
PP.3-1. Types of 3D Ultrasound Source and Derived Images
QQ.1-1. Example 1
QQ.1-2. Example 2
QQ.1-3. Example 3
QQ.1-4. Example 4
QQ.1-5. Example 5
QQ.1-6. Example 6
QQ.1-7. Example 7
SS.1-1. Top Levels of Colon CAD SR Content Tree
SS.2-1. Example of Use of Observation Context
SS.3-1. Colon Radiograph as Described in Example 1
SS.3-2. Colon radiograph as Described in Example 2
SS.3-3. Content Tree Root of Example 2 Content Tree
SS.3-4. CAD Processing and Findings Summary Portion of Example 2 Content Tree
SS.3-5. Summary of Detections Portion of Example 2 Content Tree
SS.3-7. Colon radiographs as Described in Example 3
TT-1. Stress Testing Report Template
UU.3-1. OPT B-scan with Layers and Boundaries Identified
UU.5-1. Macular Grid Thickness Report Display Example
UU.5-2. - ETDRS GRID Layout
VV.1-1. Top Level Structure of Content
VV.2-1. Pediatric, Fetal and Congenital Cardiac Ultrasound Measurement Group Example
YY-1. Compound Graphic 'AXIS'
YY-2. Combined Graphic Object 'DistanceLine'
ZZ.1-1. Implant Template Mating (Example).
ZZ.1-2. Implant Template Mating Feature IDs (Example)
ZZ.1-3. 2D Mating Feature Coordinates Sequence (Example).
ZZ.1-4. Implant Assembly Template (Example)
ZZ.3-1. Implant Templates used in the Example.
ZZ.3-2. Cup is Aligned with Patient's Acetabulum using 2 Landmarks
ZZ.3-3. Stem is Aligned with Patient's Femur.
ZZ.3-4. Femoral and Pelvic Side are Registered.
ZZ.3-5. Rotational Degree of Freedom
ZZ.5-1. Implant Versions and Derivation.
AAA.1-1. Implantation Plan SR Document basic Content Tree
AAA.2-1. Implantation Plan SR Document and Implant Template Relationship Diagram
AAA.3-1. Total Hip Replacement Components
AAA.4-1. Spatial Relations of Implant, Implant Template, Bite Plate and Patient CT
BBB.3.1.1-1. Treatment Delivery Normal Flow - Internal Verification Message Sequence
BBB.3.2.1-1. Treatment Delivery Normal Flow - External Verification Message Sequence
BBB.3.3.1-1. Treatment Delivery Message Sequence - Override or Additional Information Required
BBB.3.4.1-1. Treatment Delivery Message Sequence - Machine Adjustment Required
CCC.2-1. Sagittal Diagram of Eye Anatomy (when the lens turns opaque it is called a cataract)
CCC.2-2. Eye with a cataract
CCC.2-3. Eye with Synthetic Intraocular Lens Placed After Removal of Cataract
CCC.3-1. Scan Waveform Example
CCC.4-1. Waveform Output of a Partial Coherence Interferometry (PCI) Device Example
CCC.5-1. IOL Calculation Results Example
DDD.2-1. Schematic Representation of the Human Eye
DDD.2-2. Sample Report from an Automated Visual Field Machine
DDD.2-3. Information Related to Test Reliability
DDD.2-4. Sample Output from an Automated VF Machine Including Raw Sensitivity Values (Left, Larger Numbers are Better) and an Interpolated Gray-Scale Image
DDD.2-5. Examples of Age Corrected Deviation from Normative Values (upper left) and Mean Defect Corrected Deviation from Normative Data (upper right)
DDD.2-6. Example of Visual Field Loss Due to Damage to the Occipital Cortex Because of a Stroke
DDD.2-7. Example of Diffuse Defect
DDD.2-8. Example of Local Defect
EEE.2-1. Z Offset Correction
EEE.2-2. Polar to Cartesian Conversion
EEE.3-1. IVUS Image with Vertical Longitudinal View
EEE.3-2. IVOCT Image with Horizontal Longitudinal View
EEE.3-3. Longitudinal Reconstruction
FFF.1.1-1. Time Relationships of a Multi-frame Image
FFF.1.1-2. Time Relationships of one Frame
FFF.1.2-1. Acquisition Steps Influencing the Geometrical Relationship Between the Patient and the Pixel Data
FFF.1.2-2. Point P Defined in the Patient Orientation
FFF.1.2-3. Table Coordinate System
FFF.1.2-4. At1: Table Horizontal Rotation Angle
FFF.1.2-5. At2: Table Head Tilt Angle
FFF.1.2-6. At3: Table Cradle Tilt Angle
FFF.1.2-7. Point P in the Table and Isocenter Coordinate Systems
FFF.1.2-8. Projection of a Point of the Positioner Coordinate System
FFF.1.2-9. Physical Detector and Field of View Areas
FFF.1.2-10. Field of View Image
FFF.1.2-11. Examples of Field of View Rotation and Horizontal Flip
FFF.1.4-1. Example of X-Ray Current Per-Frame of the X-Ray Acquisition
FFF.1.5-1. Examples of Image Processing prior to the Pixel Data Storage
FFF.1.5-2. Example of Manufacturer-Dependent Subtractive Pipeline with Enhanced XA
FFF.2.1-1. Scenario of ECG Recording at Acquisition Modality
FFF.2.1-2. Example of ECG Recording at Acquisition Modality
FFF.2.1-3. Attributes of ECG Recording at Acquisition Modality
FFF.2.1-4. Example of ECG information in the Enhanced XA image
FFF.2.1-5. Attributes of Cardiac Synchronization in ECG Recording at Acquisition Modality
FFF.2.1-6. Scenario of Multi-modality Waveform Synchronization
FFF.2.1-7. Example of Multi-modality Waveform Synchronization
FFF.2.1-8. Attributes of Multi-modality Waveform NTP Synchronization
FFF.2.1-9. Scenario of Multi-modality Waveform Synchronization
FFF.2.1-10. Example of Image Modality as Source of Trigger
FFF.2.1-11. Attributes when Image Modality is the Source of Trigger
FFF.2.1-12. Example of Waveform Modality as Source of Trigger
FFF.2.1-13. Attributes when Waveform Modality is the Source of Trigger
FFF.2.1-14. Detector Trajectory during Rotational Acquisition
FFF.2.1-15. Attributes of X-Ray Positioning Per-Frame on Rotational Acquisition
FFF.2.1-16. Table Trajectory during Table Stepping
FFF.2.1-17. Example of table positions per-frame during table stepping
FFF.2.1-18. Attributes of the X-Ray Table Per Frame on Table Stepping
FFF.2.1-19. Example of X-Ray Exposure Control Sensing Regions inside the Pixel Data matrix
FFF.2.1-20. Attributes of the First Example of the X-Ray Exposure Control Sensing Regions
FFF.2.1-21. Example of X-Ray Exposure Control Sensing Regions partially outside the Pixel Data matrix
FFF.2.1-22. Attributes of the Second Example of the X-Ray Exposure Control Sensing Regions
FFF.2.1-23. Schema of the Image Intensifier
FFF.2.1-24. Generation of the Stored Image from the Detector Matrix
FFF.2.1-25. Attributes of the Example of Field of View on Image Intensifier
FFF.2.1-26. Attributes of the First Example of Field of View on Digital Detector
FFF.2.1-27. Attributes of the Second Example of Field of View on Digital Detector
FFF.2.1-28. Attributes of the Third Example of Field of View on Digital Detector
FFF.2.1-29. Example of contrast agent injection
FFF.2.1-30. Attributes of Contrast Agent Injection
FFF.2.2-1. Attributes of the Example of the Variable Frame-rate Acquisition with Skip Frames
FFF.2.3-1. Example of usage of Photometric Interpretation
FFF.2.3-2. Attributes of Mask Subtraction and Display
FFF.2.3-3. Example of Shared Frame Pixel Shift Macro
FFF.2.3-4. Example of Per-Frame Frame Pixel Shift Macro
FFF.2.3-5. Example of Per-Frame Frame Pixel Shift Macro for Multiple Shifts
FFF.2.4-1. Attributes of X-Ray Projection Pixel Calibration
FFF.2.4-2. Example of various successive derivations
FFF.2.4-3. Attributes of the Example of Various Successive Derivations
FFF.2.4-4. Example of Derivation by Square Root Transformation
FFF.2.4-5. Attributes of the Example of Derivation by Square Root Transformation
FFF.2.5-1. Attributes of the example of tracking an object of interest on multiple 2D images
GGG.2-1. Diagram of Typical Pull Workflow
GGG.3-1. Diagram of Reporting Workflow
GGG.4-1. Diagram of Third Party Cancel
GGG.5-1. Diagram of Radiation Therapy Planning Push Workflow
GGG.5-2. Diagram of Remote Monitoring and Cancel
GGG.6-1. Diagram of X-Ray Clinic Push Workflow
III.2-1. Macular Example Mapping
III.3-1. RNFL Example Mapping
III.4-1. Macula Edema Thickness Map Example
III.4-2. Macula Edema Probability Map Example
III.6-1. Observable Layer Structures
JJJ.1-1. Optical Surface Scan Relationships
JJJ.2-1. One Single Shot Without Texture Acquisition As Point Cloud
JJJ.3-1. One Single Shot With Texture Acquisition As Mesh
JJJ.4-1. Storing Modified Point Cloud With Texture As Mesh
JJJ.5-1. Multishot Without Texture As Point Clouds and Merged Mesh
JJJ.6-1. Multishot With Two Texture Per Point Cloud
JJJ.7-1. Using Colored Vertices Instead of Texture
JJJ.9-1. Referencing A Texture From Another Series
KKK-1. Heterogeneous environment with conversion between single and multi-frame objects
NNN.2-1. Scale and Color Palette for Corneal Topography Maps
NNN.3-1. Placido Ring Image Example
NNN.3-2. Corneal Topography Axial Power Map Example
NNN.3-3. Corneal Topography Instantaneous Power Map Example
NNN.3-4. Corneal Topography Refractive Power Map Example
NNN.3-5. Corneal Topography Height Map Example
NNN.4-1. Contact Lens Fitting Simulation Example
NNN.5-1. Corneal Axial Topography Map of keratoconus (left) with its Wavefront Map showing higher order (HO) aberrations (right)
OOO-1. Workflow for a "Typical" Nuclear Medicine or PET Department
OOO-2. Hot Lab Management System as the RRD Creator
OOO-3. Workflow for a Non-imaging Procedure
OOO-4. Workflow for an Infusion System or a Radioisotope Generator
OOO-5. UML Sequence Diagram for Typical Workflow
OOO-6. UML Sequence Diagram for when Radiopharmaceutical and the Modality are Started at the Same Time
OOO-7. Radiopharmaceutical and Radiopharmaceutical Component Identification Relationship
PPP.2.1-1. Example of System Status and Configuration Message Sequencing
PPP.3.1-1. A Typical Display System
PPP.3.2-1. A Tablet Display System
TTT.1.1-1. Process flow of the X-Ray 3D Angiographic Volume Creation
TTT.1.2-1. Relationship between the creation of 2D and 3D Instances
TTT.2.1-1. Encoding of a 3D reconstruction from all the frames of a rotational acquisition
TTT.2.1-2a. Attributes of 3D Reconstruction using all frames
TTT.2.1-2b. Attributes of 3D Reconstruction using all frames (continued)
TTT.2.2-1. Encoding of one 3D reconstruction from a sub-set of projection frames
TTT.2.2-2. Attributes of 3D Reconstruction using every 5th frame
TTT.2.3-1. Encoding of two 3D reconstructions of different regions of the anatomy
TTT.2.3-2. Attributes of 3D Reconstruction of the full field of view of the projection frames
TTT.2.3-3. Attributes of 3D Reconstruction using a sub-region of all frames
TTT.2.4-1. Encoding of one 3D reconstruction from three rotational acquisitions in one instance
TTT.2.4-2. Encoding of one 3D reconstruction from two rotational acquisitions in two instances
TTT.2.4-3. Attributes of 3D Reconstruction using multiple rotation images
TTT.2.5-1. Encoding of various 3D reconstructions at different cardiac phases
TTT.2.5-2. Common Attributes of 3D Reconstruction of Three Cardiac Phases
TTT.2.5-3. Per-Frame Attributes of 3D Reconstruction of Three Cardiac Phases
TTT.2.6-1. Encoding of two 3D reconstructions at different steps of the intervention
TTT.2.6-2. One frame of two 3D reconstructions at two different table positions
TTT.2.6-3. Attributes of the pre-intervention 3D reconstruction
TTT.2.6-4. Attributes of the post-intervention 3D reconstruction
TTT.2.7-1. Rotational acquisition and the corresponding 3D reconstruction
TTT.2.7-2. Static Enhanced XA acquisition at different table position
TTT.2.7-3. Encoding of a 3D reconstruction and a registered 2D projection
TTT.2.7-4. Image Position of the slice related to an application-defined patient coordinates
TTT.2.7-5. Transformation from patient coordinates to Isocenter coordinates
TTT.2.7-6. Transformation of the patient coordinates relative to the Isocenter coordinates
TTT.2.7-7. Attributes of the pre-intervention 3D reconstruction
TTT.2.7-8. Attributes of the Enhanced XA during the intervention
UUU.1-1. Ultra-wide field image of a human retina in stereographic projection
UUU.1.2-1. Stereographic projection example
UUU.1.2-2. Image taken on-axis, i.e., centered on the fovea
UUU.1.2-3. Image acquired superiorly-patient looking up
UUU.1.2-4. Fovea in the center and clearly visible
UUU.1.2-5. Fovea barely visible, but the transformation ensures it is still in the center
UUU.1.2-6. Example of a polygon on the service of a sphere
UUU.1.3-1. Map pixel to 3D coordinate
UUU.1.3-2. Measure the Length of a Path
UUU.2-1. Ophthalmic Tomography Image and Ophthalmic Optical Coherence Tomography B-scan Volume Analysis IOD Relationship - Simple Example
UUU.2-2. Ophthalmic Tomography Image and Ophthalmic Optical Coherence Tomography B-scan Volume Analysis IOD Relationship - Complex Example
UUU.3.1-1. Diabetic Macular Ischemia example
UUU.3.1-2. Age Related Macular Degeneration example
UUU.3.1-3. Branch Retinal Vein Occlusion example
UUU.3.2-1. Proliferative Diabetic Retinopathy example
WWW-1. Two Example Track Sets. "Track Set Left" with two tracks, "Track Set Right" with one track.
XXX.1-1. Scope of Volumetric Presentation States
XXX.3.1-1. Simple Planar MPR Pipeline
XXX.3.2-1. Three orthogonal MPR views. From left to right transverse, coronal, sagittal
XXX.3.3-1. Definition of a range of oblique transverse Planar MPR views on sagittal view of head scan for creation of derived images
XXX.3.3-2. One Volumetric Presentations States is created for each of the MPR views. The VPS Instances have the same value of Presentation Display Collection UID (0070,1101)
XXX.3.4-1. Additional MPR views are generated by moving the view that is defined in the VPS in Animation Step Size (0070,1A05) steps perpendicular along the curve
XXX.3.5-1. Needle trajectory on a Planar MPR view
XXX.3.6-1. Planar MPR View with Lung Nodules Colorized by Category
XXX.3.6-2. Planar MPR VPS Pipeline for Colorizing the Lung Nodule Categories
XXX.3.6-3. Lung nodule example pipeline
XXX.3.7-1. Planar MPR Views of an Ultrasound Color Flow Volume
XXX.3.7-2. Planar MPR VPS Pipeline for Ultrasound Color Flow
XXX.3.8-1. Blending with Functional Data
XXX.3.8-2. Planar MPR VPS Pipeline for PET/CT Blending
XXX.3.8-3. PET/CT Classification and Compositing Details
XXX.3.9-1. Stent Stabilization
XXX.3.10-1. Highlighted Areas of Interest Volume Rendered View Pipeline
XXX.3.11-1. Colorized Volume Rendering of Segmented Volume Data Pipeline
XXX.3.11-2. Segmented Volume Rendering Pipeline
XXX.3.12-1. Liver Resection Planning Pipeline
XXX.3.12-2. Multiple Volume Rendering Pipeline
XXX.5-1. Weighting LUTs for Fixed Proportional Composting
XXX.5-2. Weighting LUTs for Partially Transparent A Over B Compositing
XXX.5-3. Weighting LUTs for Pass-Through Compositing
XXX.5-4. Weighting LUTs for Threshold Composting
XXX.6-1. One Input To P-Values Output
XXX.6-2. One Input to PCS-Values Output
XXX.6-3. Two Inputs to PCS-Values Output
XXX.6-4. Three Inputs to PCS-Values Output
XXX.6-5. VPS Display Pipeline Equivalent to the Enhanced Blending and Display Pipeline for P-Values
XXX.6-6. VPS Display Pipeline Equivalent to the Enhanced Blending and Display Pipeline for PCS-Values
AAAA.1.1-1. Protocol Storage Use Cases
BBBB.1-1. Color Parametric Map on top of an anatomical image
BBBB.1-2. Color Parametric Map with threshold applied on top of an anatomical image
BBBB.1-3. Resulting Color LUT Spring
DDDD.2-1. Matching Intended Quantity with Measurement Definition
DDDD.2-2. Result of Unclear or Ambiguous Measurement Definition
DDDD.3-1. Inadequate Definition of Non-Standard Measurement
FFFF.2-1. Anatomical image
FFFF.2-2. DTI image
FFFF.2-3. Reading task image with coloring and threshold applied
FFFF.2-4. Listening task image with coloring and threshold applied
FFFF.2-5. Silent word generation task image with coloring and threshold applied
FFFF.2-6. Blended result
FFFF.2-7. Blended result with Patient and Series information
JJJJ.3-1. Classification of Multi-energy Images
LLLL.1-1. Possible Consumers of the Performed Imaging Agent Administration SR Object
LLLL.2-1. Use Case 1 - Manual Bolus Injection
LLLL.2-2. Use Case 2 - Automatic Infusion Pump - Contrast Reporting
LLLL.2-3. Use Case 3 - Protocoling
PPPP.1-1. Overview diagram of operating room
PPPP.1-2. Real-Time Video stream content overview
PPPP.1-3. Real-Time Video transmission details
PPPP.2-1. Duplicating on additional monitor
PPPP.3-1. Recording multiple video sources
PPPP.4-1. Displaying multiple source on one unique monitor
PPPP.5-1. Application combining multiple real-time video sources
PPPP.7-1. Example of implementation for Augmented reality based on optical image
PPPP.7-2. Example of implementation for Augmented reality based on optical image
PPPP.7-3. Example of implementation for Augmented reality based on digital image
QQQQ-1. Structure of a High Definition SDI signal
QQQQ-2. RTP Header
QQQQ-3. RTP Header Extension
QQQQ-4. RTP Grain Flags
RRRR.1-1. Relationship between OBJ, MTL and Texture Map image files and corresponding DICOM Instances
RRRR.2-1. Example of Converting Texture Map Images into DICOM Images and back again
RRRR.3-1. Example of Model Group UID Usage
RRRR.3-2. Example of Model Color and Opacity
SSSS.1.4-1. Body Position Waveform Angle of Rotation Axes
TTTT.1-1. Dermoscopy image including scale
TTTT.3-1. Regional image
TTTT.3-2. Linkage between regional image(s) and dermoscopy image(s) within a dermatology imaging study
TTTT.3-3. Potential Lesion Tracking Reporting Window
TTTT.3-4. Potential Lesion Tracking Reporting Window Display
YYYY.3-1. Inventory Information Model E-R Diagram
YYYY.3-2. Inventory IOD Schematic Structure
YYYY.3-3. Serial production example
YYYY.3-4. Baseline with incremental update
YYYY.3-5. Federated or parallel production example
YYYY.3-6. Arbitrary tree structure example
YYYY.3-7. Empty inventory example
YYYY.4-1. Inventory SOP Instance-related Information Object Definitions and Services
YYYY.7-2. Inclusion of Inventory References
ZZZZ.1-1. Variable Modality LUT Softcopy Presentation State Example 1
ZZZZ.2-1. Variable Modality LUT Softcopy Presentation State Example 2
ZZZZ.3-1. Variable Modality LUT Softcopy Presentation State Example 3
ZZZZ.4-1. Variable Modality LUT Softcopy Presentation State Example 4
AAAAA.2.3-1. Example Photoacoustic (PA) Image Acquisition, Storage, and Review
AAAAA.3.1-1. Photoacoustic (PA) Standalone Example
AAAAA.3.1.1-1. Example 1 Subcase: Photoacoustic (PA) Single Wavelength Standalone Acquisition
AAAAA.3.2-1. Example 2: Photoacoustic (PA) /Ultrasound (US) Coupled Acquisition
AAAAA.3.3-1. Example 3: Stationary Tomographic 3D Photoacoustic (PA)/Ultrasound (US) Coupled Acquisition
AAAAA.4-1. Two Photoacoustic (PA) Optical Wavelengths, Processed and Fused with Ultrasound (US)
AAAAA.4-2. Photoacoustic (PA) with Two Ranges of Multispectral Wavelengths, Processed and Fused with Ultrasound (US)
AAAAA.4-3. Two Algorithms for Photoacoustic (PA) Wavelength Processing in Three Planes
BBBBB.1-1. Capture modes for a confocal microscopy imaging study
BBBBB.4-1. Correlation of confocal microscopy image and macroscopic image
BBBBB.7-1. Whole-slide Image as a "Pyramid" of Image Data

List of Tables

C.6-1. Correspondence Between DICOM and HL7 Channel Definition
K.4-1. Attributes That Convey Staged Protocol Related Information
K.5-1. Staged Protocol Image Attributes Example
K.5-2. Comparison Of Protocol And Extra-Protocol Image Attributes Example
Q.2-1. Breast Image Report Content for Example 1
Q.2-2. Breast Imaging Report Content for Example 2
Q.2-3. Breast Imaging Report Content for Example 3
Q.2-4. Breast Imaging Report Content for Example 4
X.3-1. WADO Reference in an HL7 CDA <linkHtml>
X.3-2. DICOM Study Reference in an HL7 V3 Act (CDA Act Entry)
X.3-3. DICOM Series Reference in an HL7 V3 Act (CDA Act Entry)
X.3-4. Modality Qualifier for The Series Act.Code
X.3-5. DICOM Composite Object Reference in an HL7 V3 Act (CDA Observation Entry)
X.3-6. WADO Reference in an HL7 DGIMG Observation.Text
FF.3-1. Example #1 Report Encoding
II-1. Contrast/Bolus Module Attribute Mapping
II-2. Enhanced Contrast/Bolus Module Attribute Mapping
II-3. Device Module Attribute Mapping
II-4. Intervention Module Attribute Mapping
NN.6-1. Specimen Module for Gross Specimen
NN.6-2. Specimen Preparation Sequence for Gross Specimen
NN.6-3. Specimen Module for a Slide
NN.6-4. Specimen Preparation Sequence for Slide
OO.1.1-1. Hanging Protocol Names for Dental Image Layout based on JSOMR classification
QQ.1-1. Enhanced US Data Type Blending Examples (Informative)
RR-1. Reference Table for Use with Traditional Charts
RR-2. Reference Table for Use with ETDRS Charts or Equivalent
YY-1. Graphic Annotation Module Attributes
YY-2. Graphic Annotation Module Attributes
YY-3. Graphic Group Module
YY-4. Graphic Annotation Module Attributes
ZZ.4-1. Attributes Used to Describe a Mono Stem Implant for Total Hip Replacement
ZZ.4-2. Attributes Used to Describe a Mono Cup Implant for Total Hip Replacement
ZZ.4-3. Attributes Used to Describe The Assembly of Cup and Stem
AAA.3-1. Total Hip Replacement Example
AAA.3-2. Dental Drilling Template Example
FFF.2.1-1. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.1-2. Enhanced XA Image Functional Group Macros
FFF.2.1-3. Synchronization Module Recommendations
FFF.2.1-4. Cardiac Synchronization Module Recommendations
FFF.2.1-5. Enhanced XA/XRF Image Module Recommendations
FFF.2.1-6. Frame Content Macro Recommendations
FFF.2.1-7. General ECG IOD Modules
FFF.2.1-8. General Series Module Recommendations
FFF.2.1-9. Synchronization Module Recommendations
FFF.2.1-10. Waveform Identification Module Recommendations
FFF.2.1-11. Waveform Module Recommendations
FFF.2.1-12. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.1-13. Enhanced XA Image Functional Group Macros
FFF.2.1-14. Synchronization Module Recommendations
FFF.2.1-15. Frame Content Macro Recommendations
FFF.2.1-16. Waveform IOD Modules
FFF.2.1-18. Waveform Identification Module Recommendations
FFF.2.1-19. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.1-20. Enhanced XA Image Functional Group Macros
FFF.2.1-21. Synchronization Module Recommendations
FFF.2.1-22. Enhanced XA/XRF Image Module Recommendations
FFF.2.1-23. Frame Content Macro Recommendations
FFF.2.1-24. Waveform IOD Modules
FFF.2.1-25. Synchronization Module Recommendations
FFF.2.1-26. Waveform Identification Module Recommendations
FFF.2.1-27. Waveform Module Recommendations
FFF.2.1-28. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.1-29. Enhanced XA Image Functional Group Macros
FFF.2.1-30. XA/XRF Acquisition Module Example
FFF.2.1-31. X-Ray Positioner Macro Example
FFF.2.1-32. X-Ray Isocenter Reference System Macro Example
FFF.2.1-33. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.1-34. Enhanced XA Image Functional Group Macros
FFF.2.1-35. XA/XRF Acquisition Module Example
FFF.2.1-36. X-Ray Table Position Macro Example
FFF.2.1-37. X-Ray Isocenter Reference System Macro Example
FFF.2.1-38. Enhanced XA Image Functional Group Macros
FFF.2.1-39. X-Ray Exposure Control Sensing Regions Macro Recommendations
FFF.2.1-40. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.1-41. Enhanced XA Image Functional Group Macros
FFF.2.1-42. XA/XRF Acquisition Module Recommendations
FFF.2.1-43. X-Ray Detector Module Recommendations
FFF.2.1-44. X-Ray Field of View Macro Recommendations
FFF.2.1-45. XA/XRF Frame Pixel Data Properties Macro Recommendations
FFF.2.1-46. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.1-47. Enhanced XA Image Functional Group Macros
FFF.2.1-48. Contrast/Bolus Usage Macro Recommendations
FFF.2.1-49. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.1-50. Enhanced XA Image Functional Group Macros
FFF.2.1-51. XA/XRF Acquisition Module Recommendations
FFF.2.1-52. X-Ray Frame Acquisition Macro Recommendations
FFF.2.2-1. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.2-2. XA/XRF Multi-frame Presentation Module Recommendations
FFF.2.3-1. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.3-2. Enhanced XA Image Functional Group Macros
FFF.2.3-3. Enhanced XA/XRF Image Module Recommendations
FFF.2.3-4. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.3-5. Mask Module Recommendations
FFF.2.3-6. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.3-7. Enhanced XA Image Functional Group Macros
FFF.2.3-8. Mask Module Recommendations
FFF.2.3-9. Frame Pixel Shift Macro Recommendations
FFF.2.4-1. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.4-2. Enhanced XA Image Functional Group Macros
FFF.2.4-3. XA/XRF Acquisition Module Recommendations
FFF.2.4-4. XA/XRF Frame Pixel Data Properties Macro Recommendations
FFF.2.4-5. X-Ray Projection Pixel Calibration Macro Recommendations
FFF.2.4-6. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.4-7. Enhanced XA Image Functional Group Macros
FFF.2.4-8. Enhanced XA/XRF Image Module Recommendations
FFF.2.4-9. Derivation Image Macro Recommendations
FFF.2.4-10. XA/XRF Frame Characteristics Macro Recommendations
FFF.2.4-11. XA/XRF Frame Pixel Data Properties Macro Recommendations
FFF.2.5-1. Enhanced X-Ray Angiographic Image IOD Modules
FFF.2.5-2. Enhanced XA Image Functional Group Macros
FFF.2.5-3. XA/XRF Acquisition Module Recommendations
GGG.1-1. SOP Classes for Typical Implementation Examples
HHH.1-1. Summary of DICOM/Rendered URI Based WADO Parameters
PPP.3.1-1. N-GET Request/Response Example
PPP.3.1-2. Example of N-GET Request/Response for QA Result Module
PPP.3.2-1. N-GET Request/Response Example
RRR.1-1. Volumetric ROI on CT Example
RRR.2-1. Volumetric ROI on CT Example
RRR.3-1. Planar ROI on DCE-MR Example
RRR.4-1. SUV ROI on FDG PET Example
RRR.5-1. Volumetric ROI on CT Example
SSS.1-1. Image Library for PET-CT Example
TTT.2.1-1. General and Enhanced Series Modules Recommendations
TTT.2.1-2. Frame of Reference Module Recommendations
TTT.2.1-3. Enhanced Contrast/Bolus Module Recommendations
TTT.2.1-4. Multi-frame Dimensions Module Recommendations
TTT.2.1-5. Patient Position to Orientation Conversion Recommendations
TTT.2.1-6. X-Ray 3D Image Module Recommendations
TTT.2.1-7. X-Ray 3D Angiographic Image Contributing Sources Module Recommendations
TTT.2.1-8. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.1-9. Frame Content Macro Recommendations
TTT.2.2-1. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.2-2. Frame Content Macro Recommendations
TTT.2.3-1. Frame of Reference Module Recommendations
TTT.2.3-2. Pixel Measures Macro Recommendations
TTT.2.3-3. Frame Content Macro Recommendations
TTT.2.4-1. Frame of Reference Module Recommendations
TTT.2.4-2. X-Ray 3D Angiographic Image Contributing Sources Module Recommendations
TTT.2.4-3. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.4-4. Frame Content Macro Recommendations
TTT.2.5-1. Multi-frame Dimension Module Recommendations
TTT.2.5-2. X-Ray 3D Angiographic Acquisition Module Recommendations
TTT.2.5-3. X-Ray 3D Reconstruction Module Recommendations
TTT.2.5-4. Frame Content Macro Recommendations
TTT.2.5-5. Cardiac Synchronization Macro Recommendations
TTT.2.6-1. Frame of Reference Module Recommendations
TTT.2.6-2. Pixel Measures Macro Recommendations
TTT.2.7-1. Image-Equipment Coordinate Relationship Module Recommendations
WWW-1. Example of the Tractography Results Module
XXX.3.1-1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.1-2. Volumetric Presentation State Display Module Recommendations
XXX.3.2-1. Volumetric Presentation State Identification Module Recommendations
XXX.3.2-2. Volumetric Presentation State Relationship Module Recommendations
XXX.3.2-3. Presentation View Description Module Recommendations
XXX.3.3-1. Volumetric Presentation State Identification Module Recommendations
XXX.3.4-1. Presentation Animation Module Recommendations
XXX.3.5-1. Volumetric Graphic Annotation Module Recommendations
XXX.3.6-1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.6-2. Volumetric Presentation State Cropping Module Recommendations
XXX.3.6-3. Volumetric Presentation State Display Module Recommendations
XXX.3.7-1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.7-2. Presentation View Description Module Recommendations
XXX.3.7-3. Multi-Planar Reconstruction Geometry Module Recommendations
XXX.3.7-4. Volumetric Presentation State Display Module Recommendations
XXX.3.8-1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.8-3. Volumetric Presentation State Display Module Recommendations
XXX.3.9-1. Volumetric Presentation State Identification Module Recommendations
XXX.3.9-2. Volumetric Presentation State Relationship Module Recommendations
XXX.3.9-3. Presentation View Description Module Recommendations
XXX.3.9-4. Presentation Animation Module Recommendations
XXX.3.10.3.1-1. Volume Presentation State Relationship Module Recommendations
XXX.3.10.3.2-1. Volume Render Geometry Module Recommendations
XXX.3.10.3.3-1. Render Shading Module Recommendations
XXX.3.10.3.4-1. Render Display Module Recommendations
XXX.3.10.3.5-1. Volumetric Graphic Annotation Module Recommendations
XXX.3.10.3.6-1. Graphic Layer Module Recommendations
XXX.3.11.3.1-1. Volumetric Presentation State Relationship Module Recommendations
XXX.3.11.3.2-1. Volume Render Geometry Module Recommendations
XXX.3.11.3.3-1. Render Shading Module Recommendations
XXX.3.11.3.4-1. Render Display Module Recommendations
XXX.3.12.3.1-1. Volumetric Presentation State Relatonship Module Recommendations
XXX.3.12.3.2-1. Volume Cropping Module Recommendations
XXX.3.12.3.3-1. Volume Cropping Module Recommendations
XXX.3.12.3.4-1. Render Shading Module Recommendations
XXX.3.12.3.5-1. Render Display Module Recommendations
XXX.4.1-1. Hanging Protocol Image Set Sequence Recommendations
ZZZ.1-1. Content Assessment Results Module Example of a RT Plan Treatment Assessment
AAAA.2-1. Routine Adult Head - Context
AAAA.2-2. Routine Adult Head - Details - Scantech
AAAA.2-2a. Patient Specification
AAAA.2-2b. First Acquisition Protocol Element Specification
AAAA.2-2c. Second Acquisition Protocol Element Specification
AAAA.2-2d. First Reconstruction Protocol Element Specification
AAAA.2-3. AAPM Routine Brain Details - Acme
AAAA.2-3a. Patient Specification
AAAA.2-3b. First Acquisition Protocol Element Specification
AAAA.2-3c. Second Acquisition Protocol Element Specification
AAAA.2-3d. Third Acquisition Protocol Element Specification
AAAA.2-3e. First Reconstruction Protocol Element Specification
AAAA.2-3f. Second Reconstruction Protocol Element Specification
AAAA.2-3g. First Storage Protocol Element Specification
AAAA.2-3h. Second Storage Protocol Element Specification
AAAA.2-3i. Third Storage Protocol Element Specification
AAAA.3-1. CT Tumor Volumetric Measurement - Context
AAAA.3-2. CT Tumor Volumetric Measurement - Details - Acme
AAAA.3-2a. First Acquisition Protocol Element Specification
AAAA.3-2b. Second Acquisition Protocol Element Specification
AAAA.3-2c. First Reconstruction Protocol Element Specification
AAAA.4-1. Adult Carotid Stenting Protocol - Context
AAAA.4-2. Adult Carotid Stenting Protocol - Details - Angiotech
AAAA.4-2a. Patient Specification
AAAA.4-2b. First Acquisition Protocol Element Specification - FLUOROSCOPY NOSUB
AAAA.4-2c. Second Acquisition Protocol Element Specification - DSA
AAAA.4-2d. Third Acquisition Protocol Element Specification - ROTATIONAL SUB
AAAA.4-2e. First Reconstruction Protocol Element Specification - 3D SUB RECONSTRUCTION
AAAA.5-1. Acquisition and Storage Protocol
AAAA.5-1a. Third Acquisition Protocol Element Specification - ROTATIONAL SUB ACQ
AAAA.5-1b. First Storage Protocol Element Specification - SEND TO 3D WS
AAAA.5-2. Rotational Image
AAAA.5-3. Reconstruction Protocol
AAAA.5-3a. First Reconstruction Protocol Element Specification - 3D SUB RECONSTRUCTION
BBBB.2-1. Example data for the Floating Point Image Pixel Module
BBBB.2-2. Example data for the Dimension Organization Module
BBBB.2-3. Example data for the Pixel Measures Macro
BBBB.2-4. Example data for the Frame Content Macro
BBBB.2-5. Example data for the Identity Pixel Value Transformation Macro
BBBB.2-6. Example data for the Frame VOI LUT With LUT Macro
BBBB.2-7. Example data for the Real World Value Mapping Macro
BBBB.2-8. Example data for the Palette Color Lookup Table Module
BBBB.2-9. Example data for the Stored Value Color Range Macro
BBBB.2-10. Example data for the Parametric Map Frame Type Macro
FFFF.3-1. Encoding Example
GGGG.1-1. Skin Dose Map Example
GGGG.2-1. Dual-source CT Organ Radiation Dose Example
HHHH-1. Approval by Chief Radiologist
IIII.1-1. CT Derived Encapsulated STL Example
IIII.2-1. Fused CT/MR Derived Encapsulated STL Example
JJJJ.5.1.1-1. CT Image Module Attributes
JJJJ.5.1.1-2. Multi-energy CT Image Attributes
JJJJ.5.1.1-3. Multi-energy CT X-Ray Source Macro Attributes
JJJJ.5.1.1-4. Multi-energy CT X-Ray Detector Macro Attributes
JJJJ.5.1.1-5. Multi-energy CT Path Macro Attributes
JJJJ.5.1.1-6. CT Exposure Macro Attributes
JJJJ.5.1.1-7. CT X-Ray Details Sequence Macro Attributes
JJJJ.5.1.1-8. CT Acquisition Details Macro Attributes
JJJJ.5.1.1-9. CT Geometry Macro Attributes
JJJJ.5.1.1-10. Multi-energy CT Processing Attributes
JJJJ.5.1.2-1. CT Image Module Attributes
JJJJ.5.1.2-2. Multi-energy CT Image Attributes
JJJJ.5.1.2-3. Multi-energy CT X-Ray Source Macro Attributes
JJJJ.5.1.2-4. Multi-energy CT X-Ray Detector Macro Attributes
JJJJ.5.1.2-5. Multi-energy CT Path Macro Attributes
JJJJ.5.1.2-6. CT Exposure Macro Attributes
JJJJ.5.1.2-7. CT X-Ray Details Sequence Macro Attributes
JJJJ.5.1.2-8. CT Acquisition Details Macro Attributes
JJJJ.5.1.2-9. CT Geometry Macro Attributes
JJJJ.5.1.2-10. Multi-energy CT Processing Attributes
JJJJ.5.2.1-1. CT Image Module Attributes
JJJJ.5.2.1-2. Multi-energy CT Image Attributes
JJJJ.5.2.1-3. Multi-energy CT X-Ray Source Macro Attributes
JJJJ.5.2.1-4. Multi-energy CT X-Ray Detector Macro Attributes
JJJJ.5.2.1-5. Multi-energy CT Path Macro Attributes
JJJJ.5.2.1-6. CT Exposure Macro Attributes
JJJJ.5.2.1-7. CT X-Ray Details Sequence Macro Attributes
JJJJ.5.2.1-8. CT Acquisition Details Macro Attributes
JJJJ.5.2.1-9. CT Geometry Macro Attributes
JJJJ.5.2.1-10. Multi-energy CT Processing Attributes
JJJJ.5.3.1-1. Dimension Module
JJJJ.5.3.1-2. Per-Frame Attributes
KKKK.1-1. Example Material Specific Images for the Real World Value Mapping Macro
KKKK.1-2. Example Value Based Images for the Real World Value Mapping Macro
NNNN-1. Mapping of Visible Light Photography Related Attributes to EXIF Tags
RRRR.2-1. Encapsulated OBJ Example A
RRRR.2-2. Encapsulated MTL Example A
RRRR.2-3. Multi-frame True Color Secondary Capture Texture Map Example A
SSSS.1.7-1. Sample representation of a 23-lead Routine EEG object
UUUU.1-1. Cone Beam CT (CBCT) Enhanced RDSR
VVVV.2-1. Example of the Microscopy Bulk Simple Annotations Module
WWWW.1-1. Prostate Imaging Report SR Document with Minimal Content
WWWW.2-1. Application of the templates describing multiparametric MRI acquisition
WWWW.3-1. Application of the templates describing multiparametric MRI image quality
WWWW.4-1. Prostate MRI relevant patient information
WWWW.5-1. Complete Prostate Imaging Report SR Document
XXXX.1-1. Coding Example Prostate as GTV
XXXX.1-2. Coding Example Left Eye as OAR
XXXX.1-3. Coding Example Marker Coil as Registration Mark
XXXX.1-4. Coding Example Object as PTV
YYYY.7-1. Example Uses of Base and Relative Path URI
YYYY.7-2. Use of URI-related Attributes
YYYY.7-2b. Example Use of URI-related Attributes
YYYY.7-2c. Example Updated Study Record with Original Attributes Sequences
YYYY.7-3. Timestamp Attributes Assisting in Reconciliation
AAAAA.3.1.2-1. Photoacoustic Example Dimension Index Sequence
AAAAA.3.1.3-1. Photoacoustic Standalone Example, Wavelength 1, Frame 1
AAAAA.3.1.3-2. Photoacoustic Standalone Example, Wavelength 2, Frame 1
AAAAA.3.2.2-1. US Example Dimension Index Sequence for Photoacoustic/Ultrasound Coupled Acquisition
AAAAA.3.2.3-1. Photoacoustic/Ultrasound Coupled Acquisition, Photoacoustic Image, Algorithm 1, Frame 1
AAAAA.3.2.3-2. Photoacoustic/Ultrasound Coupled Acquisition, Photoacoustic Image, Algorithm 2, Frame 1
AAAAA.3.2.3-3. Photoacoustic/Ultrasound Coupled Acquisition, Ultrasound Image, Frame 1
AAAAA.3.3.2-1. Stationary tomographic 3D Photoacoustic/Ultrasound Example, Image Position (Volume), Frames 1 & 2
AAAAA.3.4-1. Photoacoustic Attribute Example
BBBBB.5-1. Confocal Microscopy Specimen Preparation Example

List of Examples

Q.2-1. Report Sample: Narrative Text Only
Q.2-2. Report Sample: Narrative Text with Minimal Supplementary Data
Q.2-3. Report Sample: Narrative Text with More Extensive Supplementary Data
Q.2-4. Report Sample: Multiple Procedures, Narrative Text with Some Supplementary Data
BB.1-1. Simple Example of Print Management SCU Session
FF.3-1. Presentation of Report Example #1
WW.1-1. Sample Audit Event Report
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DICOM PS3.17 2024c - Explanatory Information