Year: 2024
Type: article
Abstract: Purpose To harmonize the use of color for MR relaxometry maps and therefore recommend the use of specific color‐maps for representing , , and 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 and the logarithm‐processed Navia color‐map for and . 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 maps and maps; likewise, the authors recommend the logarithm‐processed Navia color‐map for displaying , , , and 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.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.30290
Institutions: University Medical Center Utrecht, University Hospital Bonn, Institute of Cancer Research, Royal Marsden Hospital, Universitätsklinikum Würzburg, University of Michigan, Michigan Medicine, Henan Academy of Sciences, Henan Provincial People's Hospital, Erasmus MC, Philips (Netherlands), National Physical Laboratory, National Institute of Standards and Technology, Physical Measurement Laboratory, Case Western Reserve University, TUM Klinikum, University Hospital Ulm, Technical University of Munich, Delft University of Technology, UCL Queen Square Institute of Neurology, University College London
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,500
Award: G5380174672
OpenAlex ID: W4403501563