
Color-map recommendation for MR relaxometry maps.
PURPOSE: To harmonize the use of color for MR relaxometry maps and therefore recommend the use of specific color-maps for representing T 1 $$ {\mathrm{T}}_1 $$ , T 2 $$ {\mathrm{T}}_2 $$ , and T 2 * $$ {\mathrm{T}}_2^{\ast } $$ maps and their inverses. METHODS: Perceptually linearized color-maps were chosen to have similar color settings as those proposed by Griswold et al. in 2018. A Delphi process, polling the opinion of a panel of 81 experts, was used to generate consensus on the suitability of these maps. RESULTS: Consensus was reached on the suitability of the logarithm-processed Lipari color-map for T 1 $$ {\mathrm{T}}_1 $$ and the logarithm-processed Navia color-map for T 2 $$ {\mathrm{T}}_2 $$ and T 2 * $$ {\mathrm{T}}_2^{\ast } $$ . There was consensus on color bars being mandatory and on the use of a specific value indicating "invalidity." There was no consensus on whether the ranges should be fixed per anatomy. CONCLUSION: The authors recommend the use of the logarithm-processed Lipari color-map for displaying quantitative T 1 $$ {\mathrm{T}}_1 $$ maps and R 1 $$ {\mathrm{R}}_1 $$ maps; likewise, the authors recommend the logarithm-processed Navia color-map for displaying T 2 $$ {\mathrm{T}}_2 $$ , T 2 * $$ {\mathrm{T}}_2^{\ast } $$ , R 2 $$ {\mathrm{R}}_2 $$ , and R 2 * $$ {\mathrm{R}}_2^{\ast } $$ maps. This work originated with the Quantitative MR Study Group of the International Society of Magnetic Resonance in Medicine (ISMRM); it has the approval of the Publication Committee and of the Board of the ISMRM.
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Related Subject Headings
- Nuclear Medicine & Medical Imaging
- Magnetic Resonance Imaging
- Image Processing, Computer-Assisted
- Humans
- Delphi Technique
- Color
- Brain
- Algorithms
- 4003 Biomedical engineering
- 0903 Biomedical Engineering
Citation

Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Nuclear Medicine & Medical Imaging
- Magnetic Resonance Imaging
- Image Processing, Computer-Assisted
- Humans
- Delphi Technique
- Color
- Brain
- Algorithms
- 4003 Biomedical engineering
- 0903 Biomedical Engineering