Color-map recommendation for MR relaxometry maps.

color display quantitative MR relaxation standardization

Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
16 Oct 2024
Historique:
revised: 02 08 2024
received: 07 06 2024
accepted: 24 08 2024
medline: 17 10 2024
pubmed: 17 10 2024
entrez: 17 10 2024
Statut: aheadofprint

Résumé

To harmonize the use of color for MR relaxometry maps and therefore recommend the use of specific color-maps for representing 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. Consensus was reached on the suitability of the logarithm-processed Lipari color-map for The authors recommend the use of the logarithm-processed Lipari color-map for displaying quantitative

Identifiants

pubmed: 39415361
doi: 10.1002/mrm.30290
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NWO
ID : 17986

Informations de copyright

© 2024 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

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Auteurs

Miha Fuderer (M)

Radiotherapy, Division Imaging and Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.

Barbara Wichtmann (B)

Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
Department of Neuroradiology, University Hospital Bonn, Bonn, Germany.

Fabio Crameri (F)

Undertone.design, Bern, Switzerland.

Nandita M de Souza (NM)

The Institute of Cancer Research and Royal Marsden Hospital, London, UK.

Bettina Baeßler (B)

Department of Diagnostic and Interventional Radiology, University Hospital Wuerzburg, Wuerzburg, Germany.

Vikas Gulani (V)

Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA.

Meiyun Wang (M)

Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, China.
Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Sciences, Zhengzhou, China.

Dirk Poot (D)

Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.

Ruud de Boer (R)

Philips MR Clinical Science, Eindhoven, The Netherlands.

Matt Cashmore (M)

National Physical Laboratory, Teddington, UK.

Kathryn E Keenan (KE)

Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA.

Dan Ma (D)

Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.

Carolin Pirkl (C)

GE HealthCare, Munich, Germany.

Nico Sollmann (N)

Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.
Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Sebastian Weingärtner (S)

Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.

Stefano Mandija (S)

Radiotherapy, Division Imaging and Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.

Xavier Golay (X)

Queen Square Institute of Neurology, University College London, London, UK.
Gold Standard Phantoms, Sheffield, UK.
Bioxydyn, Manchester, UK.

Classifications MeSH