25 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page 1

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1 25 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page 1 1 STATUS Letter Ballot 2 Date of Last Update 2014/09/08 3 Person Assigned David Clunie 4 mailto:dclunie@dclunie.com 5 Submitter Name Andriy Fedorov 6 mailto:fedorov@bwh.harvard.edu 7 Submission Date 2014/03/03 8 Correction Number CP Log Summary: Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics 10 Name of Standard 11 PS b 12 Rationale for Correction: 13 Many of the concepts for quantities that are present in PS3.16 "Abstract Multi-dimensional Image Model Component Semantics", 14 which are used in PS3.19 Application Hosting for the Abstract Model, are potentially reusable as quantities and dimensions in other 15 use cases. 16 The concepts listed are inconsistent with respect to whether or not they define the semantics specific to an image or "map" or are 17 entirely general. 18 Amend their definitions to replace "the image is" with "the values are". Also, where there is the occasional inconsistent use of the 19 word "map" in the name and defintions of these concepts it is removed, since conceptually the values represented when in an imahe 20 matrix are "maps" yet this limits the reuse of the same concept for a single value extracted from an image (such as in a measurement 21 in an ROI). 22 Editor's : 23 Correction Wording: 24 - Letter Ballot -

2 46 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page 2 1 Amend DICOM PS Content Mapping Resource - Context Groups to amend the following context groups: 2 CID 4033 MR Proton Spectroscopy Metabolites 34 Type: Extensible 56 Version: Table CID MR Proton Spectroscopy Metabolites 8 Coding Scheme Designator Code Value 9 SRT F-6175A N-acetylaspartate 10 SRT F Citrate 11 SRT F Choline 12 SRT F Creatine 13 DCM Creatine and Choline 14 SRT F Lactate 15 SRT F Lipid 16 DCM Lipid and Lactate 17 DCM Glutamate and glutamine 18 SRT F Glutamine 19 SRT F Tuarine 20 SRT F-61A90 Inositol 21 DCM Choline/Creatine Ratio 22 DCM N-acetylaspartate/Creatine Ratio 23 DCM N-acetylaspartate/Choline Ratio 24 DCM Creatine+Choline/Citrate Ratio 25 Note 26 For the purpose of this context group, where possible, the resonance peak in the spectrum corresponding to a particular 27 metabolite is described using the concept from SNOMED for the substance corresponding to the metabolite. E.g., the code 28 used for "lipid" is the code for "lipid (substance) ", as this concept is effectively post-coordinated by its use in the Metabolite 29 Map Code Sequence (0018,9083) to mean "lipid resonance peaks in MR spectroscopy". 30 CID 7180 Abstract Multi-dimensional Image Model Component Semantics Type: Extensible Version: yyyymmdd 35 Table CID Abstract Multi-Dimensional Image Model Component Semantics 36 Coding Scheme Designator Code Value 37 Include CID 4033 MR Proton Spectroscopy Metabolites 38 DCM T1 Map 39 DCM T2 Map 40 DCM T2* Map 41 DCM Proton Density Map 42 DCM Spin Tagging Perfusion MR Signal Intensity 43 DCM Velocity encoded 44 DCM Temperature encoded 45 - Letter Ballot -

3 45 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page 3 1 Coding Scheme Designator Code Value 2 DCM Contrast Agent Angio MR Signal Intensity 3 DCM Time Of Flight Angio MR Signal Intensity 4 DCM Proton Density Weighted MR Signal Intensity 5 DCM T1 Weighted MR Signal Intensity 6 DCM T2 Weighted MR Signal Intensity 7 DCM T2* Weighted MR Signal Intensity 8 DCM Diffusion weighted 9 DCM Field Map MR Signal Intensity 10 DCM Fractional Anisotropy 11 DCM Relative Anisotropy 12 DCM Apparent Diffusion Coefficient 13 DCM Volumetric Diffusion Dxx Component 14 DCM Volumetric Diffusion Dxy Component 15 DCM Volumetric Diffusion Dxz Component 16 DCM Volumetric Diffusion Dyy Component 17 DCM Volumetric Diffusion Dyz Component 18 DCM Volumetric Diffusion Dzz Component 19 DCM T1 Weighted Dynamic Contrast Enhanced MR Signal Intensity 20 DCM T2 Weighted Dynamic Contrast Enhanced MR Signal Intensity 21 DCM T2* Weighted Dynamic Contrast Enhanced MR Signal Intensity 22 DCM Regional Cerebral Blood Flow 23 DCM Regional Cerebral Blood Volume 24 DCM Mean Transit Time 25 DCM Time To Peak map 26 DCM Blood Oxygenation Level 27 DCM Nuclear Medicine Projection Activity 28 DCM Nuclear Medicine Tomographic Activity 29 DCM Spatial Displacement X Component 30 DCM Spatial Displacement Y Component 31 DCM Spatial Displacement Z Component 32 DCM Hemodynamic Resistance 33 DCM Indexed Hemodynamic Resistance 34 DCM Attenuation Coefficient 35 DCM Tissue Velocity 36 DCM Flow Velocity 37 SRT P Power Doppler 38 DCM Flow Variance 39 DCM Elasticity 40 DCM Perfusion 41 DCM Speed of sound 42 DCM Ultrasound Attenuation 43 DCM Student's T-test 44 - Letter Ballot -

4 45 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page 4 1 Coding Scheme Designator Code Value 2 DCM Z-score Map 3 DCM R-Coefficient Map 4 DCM dd1390_01 R2-Coefficient 5 DCM RGB R Component 6 DCM RGB G Component 7 DCM RGB B Component 8 DCM YBR FULL Y Component 9 DCM YBR FULL CB Component 10 DCM YBR FULL CR Component 11 DCM YBR PARTIAL Y Component 12 DCM YBR PARTIAL CB Component 13 DCM YBR PARTIAL CR Component 14 DCM YBR ICT Y Component 15 DCM YBR ICT CB Component 16 DCM YBR ICT CR Component 17 DCM YBR RCT Y Component 18 DCM YBR RCT CB Component 19 DCM YBR RCT CR Component 20 DCM Echogenicity 21 DCM X-Ray Attenuation 22 DCM X-Ray Attenuation Coefficient 23 DCM MR signal intensity 24 DCM Binary Segmentation 25 DCM Fractional Probabilistic Segmentation 26 DCM Fractional Occupancy Segmentation 27 Amend DICOM PS Content Mapping Resource - Controlled Terminology s to make suitable for use both as Abstract 28 Multi-dimensional Image Model Component Semantics and Quantity Descriptor: 29 Table D-1. DICOM Controlled Terminology s 30 Code Value Attenuation Coefficient A quantitative numerical statement of the relative attenuation of the 33 X-Ray beam at a specified point. Usually expressed in Hounsfield 34 units [referred to as CT Number in Fraser and Pare] Apparent Diffusion Coefficient The image isvalues are derived by calculation of the apparent 37 diffusion coefficient Pixel by pixel addition The image isvalues are derived by the pixel by pixel addition of two 39 images Diffusion weighted The image isvalues are derived by calculation of the diffusion 41 weighting Diffusion Anisotropy The image isvalues are derived by calculation of the diffusion 43 anisotropy Letter Ballot -

5 52 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page Diffusion Attenuated The image isvalues are derived by calculation of the diffusion 3 attenuation Pixel by pixel division The image isvalues are derived by the pixel by pixel division of two 5 images Pixel by pixel mask The image isvalues are derived by the pixel by pixel masking of one 7 image by another Pixel by pixel Maximum The image isvalues are derived by calculating the pixel by pixel 9 maximum of two or more images Pixel by pixel mean The image isvalues are derived by calculating the pixel by pixel 11 mean of two or more images Metabolite Maps from The image isvalues are derived by calculating from spectroscopy spectroscopy data data pixel values localized in two dimensional space based on the 14 concentration of specific metabolites (i.e, at specific frequencies) Pixel by pixel Minimum The image isvalues are derived by calculating the pixel by pixel 17 minimum of two or more images Mean Transit Time The image isvalues are derived by calculating mean transit time 19 values Pixel by pixel multiplication The image isvalues are derived by the pixel by pixel multiplication 21 of two images Negative Enhancement Integral The image isvalues are derived by calculating negative enhancement 23 integral values Regional Cerebral Blood Flow The image isvalues are derived by calculating regional cerebral 25 blood flow values Regional Cerebral Blood Volume The image isvalues are derived by calculating regional cerebral 27 blood volume values R-Coefficient Map The image is derived by calculating R-Correlation Coefficient, r 29 map values Proton Density map The image isvalues are derived by calculating proton density values Signal Change Map The image isvalues are derived by calculating signal change values Signal to Noise Map The image isvalues are derived by calculating the signal to noise 33 ratio Standard Deviation The image isvalues are derived by calculating the standard deviation 35 of two or more images Pixel by pixel subtraction The image isvalues are derived by the pixel by pixel subtraction of 37 two images T1 Map The image isvalues are derived by calculating T1 values T2* Map The image isvalues are derived by calculating T2* values T2 Map The image isvalues are derived by calculating T2 values Time Course of Signal The image isvalues are derived by calculating values based on the 42 time course of signal Temperature encoded The image isvalues are derived by calculating values based on 44 temperature encoding Student's T-Test The image isvalues are derived by calculating the value of the 46 Student's T-Test statistic from multiple image samples Time To Peak map The image isvalues are derived by calculating values based on the 48 time to peak Velocity encoded The image isvalues are derived by calculating values based on 50 velocity encoded. E.g., phase contrast Letter Ballot -

6 50 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page Z-Score Map The image isvalues are derived by calculating the value of the 3 Z-Score statistic from multiple image samples Multiplanar reformatting The image isvalues are derived by reformatting in a flat plane other 5 than that originally acquired Curved multiplanar reformatting The image isvalues are derived by reformatting in a curve plane 7 other than that originally acquired Volume rendering The image isvalues are derived by volume rendering of acquired 9 data Surface rendering The image isvalues are derived by surface rendering of acquired 11 data Segmentation The image isvalues are derived by segmentation (classification into 13 tissue types) of acquired data Volume editing The image isvalues are derived by selectively editing acquired data 15 (removing values from the volume), such as in order to remove 16 obscuring structures or noise Maximum intensity projection The image isvalues are derived by maximum intensity projection of 18 acquired data Minimum intensity projection The image isvalues are derived by minimum intensity projection of 20 acquired data Glutamate and glutamine For single-proton MR spectroscopy, the resonance peak 22 corresponding to glutamate and glutamine Choline/Creatine Ratio For single-proton MR spectroscopy, the ratio between the Choline 24 and Creatine resonance peaks N-acetylaspartate /Creatine Ratio For single-proton MR spectroscopy, the ratio between the 26 N-acetylaspartate and Creatine resonance peaks N-acetylaspartate /Choline Ratio For single-proton MR spectroscopy, the ratio between the 28 N-acetylaspartate and Choline resonance peaks Spatial resampling The image isvalues are derived by spatial resampling of acquired 30 data Edge enhancement The image isvalues are derived by edge enhancement Smoothing The image isvalues are derived by smoothing Gaussian blur The image isvalues are derived by Gaussian blurring Unsharp mask The image isvalues are derived by unsharp masking Image stitching The image isvalues are derived by stitching two or more images 36 together Spatially-related frames extracted Spatially-related frames in this image are representative frames from 38 from the volume the referenced 3D volume data set Temporally-related frames Temporally-related frames in this image are representative frames 40 extracted from the set of volumes from the referenced 3D volume data set Polar to Rectangular Scan Conversion of a polar coordinate image to rectangular (Cartesian) 42 Conversion coordinate image Creatine and Choline For single-proton MR spectroscopy, the resonance peak 44 corresponding to creatine and choline Lipid and Lactate For single-proton MR spectroscopy, the resonance peak 46 corresponding to lipid and lactate Creatine+Choline/ Citrate Ratio For single-proton MR spectroscopy, the ratio between the Choline 48 and Creatine resonance peak and the Citrate resonance peak Letter Ballot -

7 51 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page Multi-energy proportional weighting Image pixels created through proportional weighting of multiple 3 acquisitions at distinct X-Ray energies Spin Tagging Perfusion MR Signal Signal intensity of a Spin tagging Perfusion MR image. Spin tagging 6 Intensity is a technique for the measurement of blood perfusion, based on 7 magnetically labeled arterial blood water as an endogenous tracer Contrast Agent Angio MR Signal Signal intensity of a Contrast Agent Angio MR image. 9 Intensity Time Of Flight Angio MR Signal Signal intensity of a Time-of-flight (TOF) MR image. Time-of-flight 11 Intensity (TOF) is based on the phenomenon of flow-related enhancement of 12 spins entering into an imaging slice. As a result of being unsaturated, 13 these spins give more signal that surrounding stationary spins Proton Density Weighted MR Signal intensity of a Proton Density Weighted MR image. All MR 15 Signal Intensity images have intensity proportional to proton density. Images with very 16 little T1 or T2 weighting are called 'PD-weighted' T1 Weighted MR Signal Intensity Signal intensity of T1 Weighted MR image. A T1 Weighted MR image 18 is created typically by using short TE and TR times T2 Weighted MR Signal Intensity Signal intensity of a T2 Weighted MR image. T2 Weighted image 20 contrast state is approached by imaging with a TR long compared to 21 tissue T1 (to reduce T1 contribution to image contrast) and a TE 22 between the longest and shortest tissue T2s of interest T2* Weighted MR Signal Intensity Signal intensity of a T2* Weighted MR image. The T2* phenomenon 24 results from molecular interactions (spin spin relaxation) and local 25 magnetic field non-uniformities, which cause the protons to precess 26 at slightly different frequencies Field Map MR Signal Intensity Signal intensity of a Field Map MR image. A Field Map MR image provides a direct measure of the B0 inhomogeneity at each point in 30 the image Fractional Anisotropy Coefficient reflecting the fractional anisotropy of the tissues, derived 32 from a diffusion weighted MR image. Fractional anisotropy is 33 proportional to the square root of the variance of the Eigen values 34 divided by the square root of the sum of the squares of the Eigen 35 values Relative Anisotropy Coefficient reflecting the relative anisotropy of the tissues, derived 37 from a diffusion weighted MR image Volumetric Diffusion Dxx Dxx Component of the diffusion tensor, quantifying the molecular 39 Component mobility along the X axis Volumetric Diffusion Dxy Dxy Component of the diffusion tensor, quantifying the correlation of 41 Component molecular displacements in the X and Y directions Volumetric Diffusion Dxz Dxz Component of the diffusion tensor, quantifying the correlation of 43 Component molecular displacements in the X and Z directions Volumetric Diffusion Dyy Dyy Component of the diffusion tensor, quantifying the molecular 45 Component mobility along the Y axis Volumetric Diffusion Dyz Dyz Component of the diffusion tensor, quantifying the correlation of 47 Component molecular displacements in the Y and Z directions Volumetric Diffusion Dzz Dzz Component of the diffusion tensor, quantifying the molecular 49 Component mobility along the Z axis Letter Ballot -

8 51 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page T1 Weighted Dynamic Contrast Signal intensity of a T1 Weighted Dynamic Contrast Enhanced MR 3 Enhanced MR Signal Intensity image. A T1 Weighted Dynamic Contrast Enhanced MR image reflects 4 the dynamics of diffusion of the exogenous contrast media from the 5 blood pool into the extra vascular extracellular space (EES) of the 6 brain at a rate determined by the blood flow to the tissue, the 7 permeability of the Brain Blood Barrier (BBB), and the surface area 8 of the perfusing vessels T2 Weighted Dynamic Contrast Signal intensity of a T2 Weighted Dynamic Contrast Enhanced MR 10 Enhanced MR Signal Intensity image. A T2 Weighted Dynamic Contrast Enhanced MR image reflects 11 the T2 of tissue decrease as the Gd contrast agent bolus passes 12 through the brain T2* Weighted Dynamic Contrast Signal intensity of a T2* Weighted Dynamic Contrast Enhanced MR 14 Enhanced MR Signal Intensity image. A T2* Weighted Dynamic Contrast Enhanced MR image 15 reflects the T2* of tissue decrease as the Gd contrast agent bolus 16 passes through the brain Blood Oxygenation Level Signal intensity of a Blood Oxygenation Level image. BOLD imaging 18 is sensitive to blood oxygenation (but also to cerebral blood flow and 19 volume). This modality is essentially used for detecting brain activation 20 (functional MR) Nuclear Medicine Projection Accumulated decay event counts in a nuclear medicine projection 22 Activity image Nuclear Medicine Tomographic Accumulated decay event counts in a Nuclear Medicine Tomographic 24 Activity image (including PET) Spatial Displacement X Spatial Displacement along axis X of a non linear deformable spatial 26 Component registration image. The X axis is defined in reference to the patient's 27 orientation, and is increasing to the left hand side of the patient Spatial Displacement Y Spatial Displacement along axis Y of a non linear deformable spatial 29 Component registration image. The Y axis is defined in reference to the patient's 30 orientation, and is increasing to the posterior side of the patient Spatial Displacement Z Spatial Displacement along axis Z of a Non linear deformable spatial 32 Component registration image. The Z axis is defined in reference to the patient's 33 orientation, and is increasing toward the head of the patient Hemodynamic Resistance Measured resistance to the flow of blood. E.g., through the vasculature 35 or through a heart value Indexed Hemodynamic Resistance Measured resistance to the flow of blood. E.g., through the vasculature 37 or through a heart value, normalized to a particular indexed scale Tissue Velocity Velocity of tissue based on Doppler measurements Flow Velocity Velocity of blood flow based on Doppler measurements Flow Variance Statistical variance of blood velocity relative to mean Elasticity Scalar value related to the elastic properties of the tissue Perfusion Scalar value related to the volume of blood perfusing into tissue Speed of sound Speed of sound in tissue Ultrasound Attenuation Reduction in strength of ultrasound signal as the wave RGB R Component Red component of a true color image (RGB) RGB G Component Green component of a true color image (RGB) RGB B Component Blue component of a true color image (RGB) YBR FULL Y Component Y (Luminance) component of a YBR FULL image, as defined in JPEG Letter Ballot -

9 43 CP Generalize Concepts in Abstract Multi-dimensional Image Model Component Semantics Page YBR FULL CB Component CB (Blue chrominance) component of a YBR FULL image, as defined 3 in JPEG YBR FULL CR Component CR (Red chrominance) component of a YBR FULL image, as defined 5 in JPEG YBR PARTIAL Y Component Y (Luminance) component of a YBR PARTIAL image, as defined in 7 JPEG YBR PARTIAL CB Component CB (Blue chrominance) component of a YBR PARTIAL image, as 9 defined in JPEG YBR PARTIAL CR Component CR (Red chrominance) component of a YBR PARTIAL image, as 11 defined in JPEG YBR ICT Y Component Y (Luminance) component of a YBR ICT image (Irreversible Color 13 Transform), as defined in JPEG YBR ICT CB Component CB (Blue chrominance) component of a YBR ICT image (Irreversible 15 Color Transform), as defined in JPEG YBR ICT CR Component CR (Red chrominance) component of a YBR ICT image (Irreversible 17 Color Transform), as defined in JPEG YBR RCT Y Component Y (Luminance) component of a YBR RCT image (Reversible Color 19 Transform), as defined in JPEG YBR RCT CB Component CB (Blue chrominance) component of a YBR RCT image (Reversible 21 Color Transform), as defined in JPEG YBR RCT CR Component CR (Red chrominance) component of a YBR RCT image (Reversible 23 Color Transform), as defined in JPEG Echogenicity The ability of a material to create an ultrasound return echo X-Ray Attenuation Decrease in the number of photons in an X-Ray beam due to 26 interactions with the atoms of a material substance. Attenuation is 27 due primarily to two processes, absorption and scattering X-Ray Attenuation Coefficient Coefficient that describes the fraction of a beam of X-Rays or gamma 29 rays that is absorbed or scattered per unit thickness of the absorber. 30 This value basically accounts for the number of atoms in a cubic cm 31 volume of material and the probability of a photon being scattered or 32 absorbed from the nucleus or an electron of one of these atoms MR signal intensity Signal intensity of an MR image, not otherwise specified Binary Segmentation Binary value denoting that the segmented property is present Fractional Probabilistic Probability, defined as a percentage, that the segmented property 36 Segmentation occupies the spatial area defined by the voxel Fractional Occupancy Percentage of the voxel area occupied by the segmented property. 38 Segmentation 39 dd1390_01 R2-Coefficient Coefficient of determination, R 41 fit Letter Ballot -