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Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group.
Bilgic, Berkin; Costagli, Mauro; Chan, Kwok-Shing; Duyn, Jeff; Langkammer, Christian; Lee, Jongho; Li, Xu; Liu, Chunlei; Marques, José P; Milovic, Carlos; Robinson, Simon Daniel; Schweser, Ferdinand; Shmueli, Karin; Spincemaille, Pascal; Straub, Sina; van Zijl, Peter; Wang, Yi.
Afiliação
  • Bilgic B; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
  • Costagli M; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy.
  • Chan KS; Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy.
  • Duyn J; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
  • Langkammer C; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
  • Lee J; Advanced MRI Section, NINDS, National Institutes of Health, Bethesda, Maryland, USA.
  • Li X; Department of Neurology, Medical University of Graz, Graz, Austria.
  • Liu C; Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
  • Marques JP; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Milovic C; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
  • Robinson SD; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA.
  • Schweser F; Helen Wills Neuroscience Institute, University of California, Berkeley, California, USA.
  • Shmueli K; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
  • Spincemaille P; School of Electrical Engineering (EIE), Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile.
  • Straub S; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • van Zijl P; Centre of Advanced Imaging, University of Queensland, Brisbane, Australia.
  • Wang Y; Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, Buffalo, New York, USA.
Magn Reson Med ; 91(5): 1834-1862, 2024 May.
Article em En | MEDLINE | ID: mdl-38247051
ABSTRACT
This article provides recommendations for implementing QSM for clinical brain research. It is a consensus of the International Society of Magnetic Resonance in Medicine, Electro-Magnetic Tissue Properties Study Group. While QSM technical development continues to advance rapidly, the current QSM methods have been demonstrated to be repeatable and reproducible for generating quantitative tissue magnetic susceptibility maps in the brain. However, the many QSM approaches available have generated a need in the neuroimaging community for guidelines on implementation. This article outlines considerations and implementation recommendations for QSM data acquisition, processing, analysis, and publication. We recommend that data be acquired using a monopolar 3D multi-echo gradient echo (GRE) sequence and that phase images be saved and exported in Digital Imaging and Communications in Medicine (DICOM) format and unwrapped using an exact unwrapping approach. Multi-echo images should be combined before background field removal, and a brain mask created using a brain extraction tool with the incorporation of phase-quality-based masking. Background fields within the brain mask should be removed using a technique based on SHARP or PDF, and the optimization approach to dipole inversion should be employed with a sparsity-based regularization. Susceptibility values should be measured relative to a specified reference, including the common reference region of the whole brain as a region of interest in the analysis. The minimum acquisition and processing details required when reporting QSM results are also provided. These recommendations should facilitate clinical QSM research and promote harmonized data acquisition, analysis, and reporting.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo Tipo de estudo: Guideline Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo Tipo de estudo: Guideline Idioma: En Ano de publicação: 2024 Tipo de documento: Article