Page 26 |
DICOM PS3.17 2020a - Explanatory Information |
|
VV.2-1. Pediatric, Fetal and Congenital Cardiac Ultrasound Measurement Group Example ................................................ |
424 |
|
YY-1. Compound Graphic 'AXIS' ............................................................................................................................ |
|
431 |
YY-2. Combined Graphic Object 'DistanceLine' ......................................................................................................... |
433 |
|
ZZ.1-1. Implant Template Mating (Example). ............................................................................................................ |
435 |
|
ZZ.1-2. Implant Template Mating Feature IDs (Example) ............................................................................................ |
435 |
|
ZZ.1-3. 2D Mating Feature Coordinates Sequence (Example). ..................................................................................... |
436 |
|
ZZ.1-4. Implant Assembly Template (Example) ......................................................................................................... |
437 |
|
ZZ.3-1. Implant Templates used in the Example. ....................................................................................................... |
437 |
|
ZZ.3-2. Cup is Aligned with Patient's Acetabulum using 2 Landmarks ............................................................................ |
438 |
|
ZZ.3-3. Stem is Aligned with Patient's Femur. ........................................................................................................... |
438 |
|
ZZ.3-4. Femoral and Pelvic Side are Registered. ....................................................................................................... |
439 |
|
ZZ.3-5. Rotational Degree of Freedom .................................................................................................................... |
|
439 |
ZZ.5-1. Implant Versions and Derivation. |
................................................................................................................. |
445 |
AAA.1-1. Implantation Plan SR Document basic content tree ....................................................................................... |
448 |
|
AAA.2-1. Implantation Plan SR Document and Implant Template Relationship Diagram .................................................... |
448 |
|
AAA.3-1. Total Hip Replacement Components .......................................................................................................... |
449 |
|
AAA.4-1. Spatial Relations of Implant, Implant Template, Bite Plate and Patient CT ......................................................... |
451 |
|
BBB.3.1.1-1. Treatment Delivery Normal Flow - Internal Verification Message Sequence .................................................. |
457 |
|
BBB.3.2.1-1. Treatment Delivery Normal Flow - External Verification Message Sequence ................................................. |
461 |
|
BBB.3.3.1-1. Treatment Delivery Message Sequence - Override or Additional Information Required .................................... |
463 |
|
BBB.3.4.1-1. Treatment Delivery Message Sequence - Machine Adjustment Required ...................................................... |
465 |
|
CCC.2-1. Sagittal Diagram of Eye Anatomy (when the lens turns opaque it is called a cataract) .......................................... |
468 |
|
CCC.2-2. Eye with a cataract ................................................................................................................................ |
|
468 |
CCC.2-3. Eye with Synthetic Intraocular Lens Placed After Removal of Cataract ............................................................. |
469 |
|
CCC.3-1. Scan Waveform Example ........................................................................................................................ |
|
469 |
CCC.4-1. Waveform Output of a Partial Coherence Interferometry (PCI) Device Example .................................................. |
470 |
|
CCC.5-1. IOL Calculation Results Example .............................................................................................................. |
471 |
|
DDD.2-1. Schematic Representation of the Human Eye .............................................................................................. |
473 |
|
DDD.2-2. Sample Report from an Automated Visual Field Machine ............................................................................... |
474 |
|
DDD.2-3. Information Related to Test Reliability ........................................................................................................ |
475 |
|
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 .......................................................................................................................... |
|
475 |
DDD.2-5. Examples of Age Corrected Deviation from Normative Values (upper left) and Mean Defect Corrected Deviation from
Normative Data (upper right) ................................................................................................................................. |
476 |
DDD.2-6. Example of Visual Field Loss Due to Damage to the Occipital Cortex Because of a Stroke ................................... |
477 |
DDD.2-7. Example of Diffuse Defect ....................................................................................................................... |
478 |
DDD.2-8. Example of Local Defect ......................................................................................................................... |
479 |
EEE.2-1. Z Offset Correction ................................................................................................................................. |
481 |
EEE.2-2. Polar to Cartesian Conversion .................................................................................................................. |
482 |
EEE.3-1. IVUS Image with Vertical Longitudinal View ................................................................................................. |
483 |
EEE.3-2. IVOCT Image with Horizontal Longitudinal View ........................................................................................... |
484 |
EEE.3-3. Longitudinal Reconstruction ..................................................................................................................... |
484 |
FFF.1.1-1. Time Relationships of a Multi-frame Image ................................................................................................ |
485 |
FFF.1.1-2. Time Relationships of one Frame ............................................................................................................ |
486 |
FFF.1.2-1. Acquisition Steps Influencing the Geometrical Relationship Between the Patient and the Pixel Data ..................... |
487 |
FFF.1.2-2. Point P Defined in the Patient Orientation ................................................................................................. |
487 |
FFF.1.2-3. Table Coordinate System ...................................................................................................................... |
488 |
FFF.1.2-4. At1: Table Horizontal Rotation Angle ........................................................................................................ |
489 |
FFF.1.2-5. At2: Table Head Tilt Angle ..................................................................................................................... |
489 |
FFF.1.2-6. At3: Table Cradle Tilt Angle ................................................................................................................... |
489 |
FFF.1.2-7. Point P in the Table and Isocenter Coordinate Systems ............................................................................... |
490 |
FFF.1.2-8. Projection of a Point of the Positioner Coordinate System ............................................................................ |
491 |
FFF.1.2-9. Physical Detector and Field of View Areas ................................................................................................ |
492 |
FFF.1.2-10. Field of View Image ............................................................................................................................ |
493 |
FFF.1.2-11. Examples of Field of View Rotation and Horizontal Flip .............................................................................. |
493 |
FFF.1.4-1. Example of X-Ray Current Per-Frame of the X-Ray Acquisition ..................................................................... |
494 |
FFF.1.5-1. Examples of Image Processing prior to the Pixel Data Storage ...................................................................... |
495 |
FFF.1.5-2. Example of Manufacturer-Dependent Subtractive Pipeline with Enhanced XA .................................................. |
496 |
FFF.2.1-1. Scenario of ECG Recording at Acquisition Modality .................................................................................... |
496 |
FFF.2.1-2. Example of ECG Recording at Acquisition Modality ..................................................................................... |
501 |
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DICOM PS3.17 2020a - Explanatory Information |
Page 27 |
FFF.2.1-3. Attributes of ECG Recording at Acquisition Modality .................................................................................... |
502 |
FFF.2.1-4. Example of ECG information in the Enhanced XA image .............................................................................. |
503 |
FFF.2.1-5. Attributes of Cardiac Synchronization in ECG Recording at Acquisition Modality ............................................... |
503 |
FFF.2.1-6. Scenario of Multi-modality Waveform Synchronization ................................................................................. |
504 |
FFF.2.1-7. Example of Multi-modality Waveform Synchronization ................................................................................. |
506 |
FFF.2.1-8. Attributes of Multi-modality Waveform NTP Synchronization ......................................................................... |
507 |
FFF.2.1-9. Scenario of Multi-modality Waveform Synchronization ................................................................................. |
507 |
FFF.2.1-10. Example of Image Modality as Source of Trigger ...................................................................................... |
511 |
FFF.2.1-11. Attributes when Image Modality is the Source of Trigger ............................................................................. |
512 |
FFF.2.1-12. Example of Waveform Modality as Source of Trigger ................................................................................. |
513 |
FFF.2.1-13. Attributes when Waveform Modality is the Source of Trigger ....................................................................... |
514 |
FFF.2.1-14. Detector Trajectory during Rotational Acquisition ...................................................................................... |
517 |
FFF.2.1-15. Attributes of X-Ray Positioning Per-frame on Rotational Acquisition .............................................................. |
517 |
FFF.2.1-16. Table Trajectory during Table Stepping ................................................................................................... |
520 |
FFF.2.1-17. Example of table positions per-frame during table stepping ......................................................................... |
520 |
FFF.2.1-18. Attributes of the X-Ray Table Per Frame on Table Stepping ........................................................................ |
521 |
FFF.2.1-19. Example of X-Ray Exposure Control Sensing Regions inside the Pixel Data matrix .......................................... |
522 |
FFF.2.1-20. Attributes of the First Example of the X-Ray Exposure Control Sensing Regions ............................................. |
523 |
FFF.2.1-21. Example of X-Ray Exposure Control Sensing Regions partially outside the Pixel Data matrix ............................. |
524 |
FFF.2.1-22. Attributes of the Second Example of the X-Ray Exposure Control Sensing Regions ......................................... |
524 |
FFF.2.1-23. Schema of the Image Intensifier ............................................................................................................ |
526 |
FFF.2.1-24. Generation of the Stored Image from the Detector Matrix ........................................................................... |
527 |
FFF.2.1-25. Attributes of the Example of Field of View on Image Intensifier .................................................................... |
529 |
FFF.2.1-26. Attributes of the First Example of Field of View on Digital Detector ............................................................... |
530 |
FFF.2.1-27. Attributes of the Second Example of Field of View on Digital Detector ........................................................... |
531 |
FFF.2.1-28. Attributes of the Third Example of Field of View on Digital Detector .............................................................. |
532 |
FFF.2.1-29. Example of contrast agent injection ........................................................................................................ |
534 |
FFF.2.1-30. Attributes of Contrast Agent Injection ...................................................................................................... |
535 |
FFF.2.2-1. Attributes of the Example of the Variable Frame-rate Acquisition with Skip Frames ............................................ |
538 |
FFF.2.3-1. Example of usage of Photometric Interpretation ......................................................................................... |
541 |
FFF.2.3-2. Attributes of Mask Subtraction and Display ................................................................................................ |
543 |
FFF.2.3-3. Example of Shared Frame Pixel Shift Macro .............................................................................................. |
545 |
FFF.2.3-4. Example of Per-Frame Frame Pixel Shift Macro ......................................................................................... |
545 |
FFF.2.3-5. Example of Per-Frame Frame Pixel Shift Macro for Multiple Shifts ................................................................. |
546 |
FFF.2.4-1. Attributes of X-Ray Projection Pixel Calibration .......................................................................................... |
549 |
FFF.2.4-2. Example of various successive derivations ................................................................................................ |
551 |
FFF.2.4-3. Attributes of the Example of Various Successive Derivations ........................................................................ |
552 |
FFF.2.4-4. Example of Derivation by Square Root Transformation ................................................................................ |
553 |
FFF.2.4-5. Attributes of the Example of Derivation by Square Root Transformation .......................................................... |
554 |
FFF.2.5-1. Attributes of the example of tracking an object of interest on multiple 2D images ............................................... |
557 |
GGG.2-1. Diagram of Typical Pull Workflow ............................................................................................................. |
565 |
GGG.3-1. Diagram of Reporting Workflow ............................................................................................................... |
566 |
GGG.4-1. Diagram of Third Party Cancel ................................................................................................................. |
567 |
GGG.5-1. Diagram of Radiation Therapy Planning Push Workflow ................................................................................ |
567 |
GGG.5-2. Diagram of Remote Monitoring and Cancel ................................................................................................ |
568 |
GGG.6-1. Diagram of X-Ray Clinic Push Workflow .................................................................................................... |
569 |
III.2-1. Macular Example Mapping .......................................................................................................................... |
595 |
III.3-1. RNFL Example Mapping ............................................................................................................................. |
596 |
III.4-1. Macula Edema Thickness Map Example ........................................................................................................ |
596 |
III.4-2. Macula Edema Probability Map Example ........................................................................................................ |
597 |
III.6-1. Observable Layer Structures ....................................................................................................................... |
598 |
JJJ.1-1. Optical Surface Scan Relationships ............................................................................................................. |
599 |
JJJ.2-1. One Single Shot Without Texture Acquisition As Point Cloud ............................................................................ |
599 |
JJJ.3-1. One Single Shot With Texture Acquisition As Mesh ........................................................................................ |
600 |
JJJ.4-1. Storing Modified Point Cloud With Texture As Mesh ....................................................................................... |
600 |
JJJ.5-1. Multishot Without Texture As Point Clouds and Merged Mesh .......................................................................... |
600 |
JJJ.6-1. Multishot With Two Texture Per Point Cloud ................................................................................................. |
601 |
JJJ.7-1. Using Colored Vertices Instead of Texture .................................................................................................... |
601 |
JJJ.9-1. Referencing A Texture From Another Series ................................................................................................. |
601 |
KKK-1. Heterogeneous environment with conversion between single and multi-frame objects ............................................ |
604 |
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Page 28 |
DICOM PS3.17 2020a - Explanatory Information |
|
NNN.2-1. Scale and Color Palette for Corneal Topography Maps ................................................................................. |
633 |
|
NNN.3-1. Placido Ring Image Example |
................................................................................................................... |
634 |
NNN.3-2. Corneal Topography Axial Power ..........................................................................................Map Example |
634 |
|
NNN.3-3. Corneal Topography Instantaneous ..............................................................................Power Map Example |
635 |
|
NNN.3-4. Corneal Topography Refractive ...................................................................................Power Map Example |
635 |
|
NNN.3-5. Corneal Topography Height Map ..................................................................................................Example |
636 |
|
NNN.4-1. Contact Lens Fitting Simulation ....................................................................................................Example |
636 |
|
NNN.5-1. Corneal Axial Topography Map of keratoconus (left) with its Wavefront Map showing higher order (HO) aberrations |
|
|
(right) ............................................................................................................................................................... |
|
637 |
OOO-1. Workflow for a "Typical" Nuclear .........................................................................Medicine or PET Department |
639 |
|
OOO-2. Hot Lab Management System as .........................................................................................the RRD Creator |
640 |
|
OOO-3. Workflow for a Non-imaging Procedure ........................................................................................................ |
640 |
|
OOO-4. Workflow for an Infusion System ..........................................................................or a Radioisotope Generator |
641 |
|
OOO-5. UML Sequence Diagram for Typical ...............................................................................................Workflow |
641 |
|
OOO-6. UML Sequence Diagram for when ..................Radiopharmaceutical and the Modality are Started at the Same Time |
642 |
|
OOO-7. Radiopharmaceutical and Radiopharmaceutical .........................................Component Identification Relationship |
643 |
|
PPP.2.1-1. Example of System Status and ..............................................................Configuration Message Sequencing |
645 |
|
PPP.3.1-1. A Typical Display System ...................................................................................................................... |
|
646 |
PPP.3.2-1. A Tablet Display System ....................................................................................................................... |
|
658 |
TTT.1.1-1. Process flow of the X-Ray 3D .......................................................................Angiographic Volume Creation |
679 |
|
TTT.1.2-1. Relationship between the creation ...........................................................................of 2D and 3D Instances |
680 |
|
TTT.2.1-1. Encoding of a 3D reconstruction ..................................................from all the frames of a rotational acquisition |
682 |
|
TTT.2.1-2a. Attributes of 3D Reconstruction .......................................................................................using all frames |
687 |
|
TTT.2.1-2b. Attributes of 3D Reconstruction .......................................................................using all frames (continued) |
688 |
|
TTT.2.2-1. Encoding of one 3D reconstruction ...........................................................from a sub-set of projection frames |
689 |
|
TTT.2.2-2. Attributes of 3D Reconstruction .................................................................................using every 5th frame |
690 |
|
TTT.2.3-1. Encoding of two 3D reconstructions ...........................................................of different regions of the anatomy |
691 |
|
TTT.2.3-2. Attributes of 3D Reconstruction .................................................of the full field of view of the projection frames |
692 |
|
TTT.2.3-3. Attributes of 3D Reconstruction ....................................................................using a sub-region of all frames |
693 |
|
TTT.2.4-1. Encoding of one 3D reconstruction .........................................from three rotational acquisitions in one instance |
694 |
|
TTT.2.4-2. Encoding of one 3D reconstruction ..........................................from two rotational acquisitions in two instances |
694 |
|
TTT.2.4-3. Attributes of 3D Reconstruction ......................................................................using multiple rotation images |
697 |
|
TTT.2.5-1. Encoding of various 3D reconstructions ................................................................at different cardiac phases |
698 |
|
TTT.2.5-2. Common Attributes of 3D Reconstruction ................................................................of Three Cardiac Phases |
701 |
|
TTT.2.5-3. Per-Frame Attributes of 3D Reconstruction .............................................................of Three Cardiac Phases |
702 |
|
TTT.2.6-1. Encoding of two 3D reconstructions .........................................................at different steps of the intervention |
703 |
|
TTT.2.6-2. One frame of two 3D reconstructions ...............................................................at two different table positions |
705 |
|
TTT.2.6-3. Attributes of the pre-intervention .....................................................................................3D reconstruction |
706 |
|
TTT.2.6-4. Attributes of the post-intervention ....................................................................................3D reconstruction |
706 |
|
TTT.2.7-1. Rotational acquisition and the .....................................................................corresponding 3D reconstruction |
707 |
|
TTT.2.7-2. Static Enhanced XA acquisition .............................................................................at different table position |
707 |
|
TTT.2.7-3. Encoding of a 3D reconstruction ....................................................................and a registered 2D projection |
708 |
|
TTT.2.7-4. Image Position of the slice related ...............................................to an application-defined patient coordinates |
709 |
|
TTT.2.7-5. Transformation from patient ..................................................................coordinates to Isocenter coordinates |
709 |
|
TTT.2.7-6. Transformation of the patient .................................................coordinates relative to the Isocenter coordinates |
709 |
|
TTT.2.7-7. Attributes of the pre-intervention .....................................................................................3D reconstruction |
710 |
|
TTT.2.7-8. Attributes of the Enhanced XA .................................................................................during the intervention |
711 |
|
UUU.1-1. Ultra-wide field image of a human .................................................................retina in stereographic projection |
713 |
|
UUU.1.2-1. Stereographic projection example .......................................................................................................... |
715 |
|
UUU.1.2-2. Image taken on-axis, i.e., centered ........................................................................................on the fovea |
715 |
|
UUU.1.2-3. Image acquired superiorly-patient ............................................................................................looking up |
716 |
|
UUU.1.2-4. Fovea in the center and clearly .....................................................................................................visible |
716 |
|
UUU.1.2-5. Fovea barely visible, but the ......................................................transformation ensures it is still in the center |
717 |
|
UUU.1.2-6. Example of a polygon on the .......................................................................................service of a sphere |
718 |
|
UUU.1.3-1. Map pixel to 3D coordinate ................................................................................................................... |
|
719 |
UUU.1.3-2. Measure the Length of a Path ................................................................................................................ |
720 |
|
UUU.2-1.OphthalmicTomographyImageandOphthalmicOpticalCoherenceTomographyB-scanVolumeAnalysisIODRelationship |
||
- Simple Example ............................................................................................................................................... |
|
722 |
UUU.2-2.OphthalmicTomographyImageandOphthalmicOpticalCoherenceTomographyB-scanVolumeAnalysisIODRelationship |
||
- Complex Example ............................................................................................................................................. |
|
723 |
- Standard -
DICOM PS3.17 2020a - Explanatory Information |
Page 29 |
UUU.3.1-1. Diabetic Macular Ischemia example ........................................................................................................ |
724 |
UUU.3.1-2. Age related Macular Degeneration example ............................................................................................. |
724 |
UUU.3.1-3. Branch Retinal Vein Occlusion example .................................................................................................. |
725 |
UUU.3.2-1. Proliferative Diabetic Retinopathy example ............................................................................................... |
725 |
WWW-1. Two Example Track Sets. "Track Set Left" with two tracks, "Track Set Right" with one track. ................................. |
731 |
XXX.1-1. Scope of Volumetric Presentation States .................................................................................................... |
737 |
XXX.3.1-1. Simple Planar MPR Pipeline .................................................................................................................. |
739 |
XXX.3.2-1. Three orthogonal MPR views. From left to right transverse, coronal, sagittal .................................................... |
740 |
XXX.3.3-1. Definition of a range of oblique transverse Planar MPR views on sagittal view of head scan for creation of derived im-
ages ................................................................................................................................................................ |
741 |
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) ................................................................................................... |
742 |
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 ....................................................................................................................... |
743 |
XXX.3.5-1. Needle trajectory on a Planar MPR view .................................................................................................. |
744 |
XXX.3.6-1. Planar MPR View with Lung Nodules Colorized by Category ........................................................................ |
745 |
XXX.3.6-2. Planar MPR VPS Pipeline for Colorizing the Lung Nodule Categories ............................................................ |
745 |
XXX.3.6-3. Lung nodule example pipeline ................................................................................................................ |
746 |
XXX.3.7-1. Planar MPR Views of an Ultrasound Color Flow Volume .............................................................................. |
750 |
XXX.3.7-2. Planar MPR VPS Pipeline for Ultrasound Color Flow .................................................................................. |
750 |
XXX.3.8-1. Blending with Functional Data ................................................................................................................ |
753 |
XXX.3.8-2. Planar MPR VPS Pipeline for PET/CT Blending ......................................................................................... |
753 |
XXX.3.8-3. PET/CT Classification and Compositing Details ......................................................................................... |
754 |
XXX.3.9-1. Stent Stabilization ................................................................................................................................ |
756 |
XXX.3.10-1. Highlighted Areas of Interest Volume Rendered View Pipeline .................................................................... |
757 |
XXX.3.11-1. Colorized Volume Rendering of Segmented Volume Data Pipeline .............................................................. |
760 |
XXX.3.11-2. Segmented Volume Rendering Pipeline ................................................................................................. |
760 |
XXX.3.12-1. Liver Resection Planning Pipeline ......................................................................................................... |
763 |
XXX.3.12-2. Multiple Volume Rendering Pipeline ...................................................................................................... |
764 |
XXX.5-1. Weighting LUTs for Fixed Proportional Composting ...................................................................................... |
770 |
XXX.5-2. Weighting LUTs for Partially Transparent A Over B Compositing ..................................................................... |
770 |
XXX.5-3. Weighting LUTs for Pass-Through Compositing ........................................................................................... |
770 |
XXX.5-4. Weighting LUTs for Threshold Composting ................................................................................................. |
771 |
XXX.6-1. One Input To P-Values Output .................................................................................................................. |
771 |
XXX.6-2. One Input to PCS-Values Output ............................................................................................................... |
771 |
XXX.6-3. Two Inputs to PCS-Values Output ............................................................................................................. |
772 |
XXX.6-4. Three Inputs to PCS-Values Output ........................................................................................................... |
773 |
XXX.6-5. VPS Display Pipeline Equivalent to the Enhanced Blending and Display Pipeline for P-Values ............................... |
773 |
XXX.6-6. VPS Display Pipeline Equivalent to the Enhanced Blending and Display Pipeline for PCS-Values .......................... |
774 |
AAAA.1.1-1. Protocol Storage Use Cases ................................................................................................................ |
789 |
BBBB.1-1. Color Parametric Map on top of an anatomical image .................................................................................. |
810 |
BBBB.1-2. Color Parametric Map with threshold applied on top of an anatomical image .................................................... |
810 |
BBBB.1-3. Resulting Color LUT Spring .................................................................................................................... |
813 |
DDDD.2-1. Matching Intended Quantity with Measurement Definition ............................................................................ |
821 |
DDDD.2-2. Result of Unclear or Ambiguous Measurement Definition ............................................................................. |
822 |
DDDD.3-1. Inadequate Definition of Non-Standard Measurement ................................................................................. |
823 |
FFFF.2-1. Anatomical image ................................................................................................................................. |
831 |
FFFF.2-2. DTI image ........................................................................................................................................... |
832 |
FFFF.2-3. Reading task image with coloring and threshold applied ............................................................................... |
832 |
FFFF.2-4. Listening task image with coloring and threshold applied .............................................................................. |
832 |
FFFF.2-5. Silent word generation task image with coloring and threshold applied ............................................................. |
833 |
FFFF.2-6. Blended result ...................................................................................................................................... |
833 |
FFFF.2-7. Blended result with Patient and Series information ...................................................................................... |
833 |
JJJJ.3-1. Classification of Multi-energy Images ......................................................................................................... |
849 |
LLLL.1-1. Possible Consumers of the Performed Imaging Agent Administration SR Object ................................................ |
865 |
LLLL.2-1. Use Case 1 - Manual Bolus Injection ......................................................................................................... |
866 |
LLLL.2-2. Use Case 2 - Automatic Infusion Pump - Contrast Reporting .......................................................................... |
867 |
LLLL.2-3. Use Case 3 - Protocoling ........................................................................................................................ |
867 |
PPPP.1-1. Overview diagram of operating room ........................................................................................................ |
955 |
PPPP.1-2. Real-Time Video stream content overview ................................................................................................ |
955 |
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Page 30 |
DICOM PS3.17 2020a - Explanatory Information |
|
|
PPPP.1-3. Real-Time Video transmission details ....................................................................................................... |
956 |
||
PPPP.2-1. Duplicating on additional monitor ............................................................................................................. |
956 |
||
PPPP.3-1. Recording multiple video sources ............................................................................................................ |
957 |
||
PPPP.4-1. Displaying multiple source on one unique monitor ....................................................................................... |
957 |
||
PPPP.5-1. |
Application combining multiple real-time video sources ................................................................................ |
958 |
|
PPPP.7-1. |
Example of implementation for Augmented reality based on optical image ....................................................... |
959 |
|
PPPP.7-2. |
Example of implementation for Augmented reality based on optical image ....................................................... |
960 |
|
PPPP.7-3. |
Example of implementation for Augmented reality based on digital image ........................................................ |
961 |
|
QQQQ-1. Structure of a High Definition SDI signal .................................................................................................... |
965 |
||
QQQQ-2. RTP Header ......................................................................................................................................... |
|
967 |
|
QQQQ-3. RTP Header Extension ........................................................................................................................... |
|
967 |
|
QQQQ-4. RTP Grain Flags ................................................................................................................................... |
|
968 |
|
RRRR.1-1. Relationship between OBJ, MTL and Texture Map image files and corresponding DICOM Instances .................... |
969 |
||
RRRR.2-1. Example of Converting Texture Map Images into DICOM Images and back again ............................................ |
973 |
||
RRRR.3-1. Example of Model Group UID Usage ....................................................................................................... |
974 |
||
RRRR.3-2. Example of Model Color and Opacity ....................................................................................................... |
974 |
||
- Standard -