Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group
Harvard University · Massachusetts General Hospital · +27 more institutions
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…
Citation impact
- FWCI
- 46.56
- Percentile
- 100%
- References
- 222
Authors
18- BBBerkin Bilgiç
Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging
- MCMauro Costagli
Fondazione Stella Maris, Istituti di Ricovero e Cura a Carattere Scientifico, University of Genoa
- KCKwok‐Shing Chan
Harvard University, Radboud University Nijmegen, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging
- JHJeff H. Duyn
National Institutes of Health
- CLChristian Langkammer
Medical University of Graz
Topics & keywords
- Quantitative susceptibility mapping
- Computer science
- DICOM
- Medical physics
- Brain tissue
- Neuroimaging
- Magnetic resonance imaging
- Data mining
Funding
- PPhilips
- HMHarvard Medical School
- WSWayne State University
- AUAix-Marseille Université
- UBUniversität Basel
- UOUniversity of Alberta
- UCUniversity College London
- ECEuropean CommissionAwards: 794298, 770939
- NRNational Research Foundation
- UOUniversity of Queensland
- RURadboud Universiteit
- ASAustrian Science FundAwards: 30134, P30134, 35887, P35887, 31452
- SNSeoul National University
- MDMinistero della SaluteAwards: 5 × 1000, 5×1000
- NONederlandse Organisatie voor Wetenschappelijk OnderzoekAwards: 16PR1056, FOM-N-31/16PR1056
- LULunds Universitet
- NRNational Research Foundation of KoreaAward: NRF‐2021R1A2B5B03002783
- SJShanghai Jiao Tong University
- UDUniversidad de Chile
- RURadboud Universitair Medisch Centrum
- SHSiemens Healthineers
- NINational Institutes of HealthAwards: EB031771, R01 EB028797, U01 EB026996, UG3EB034875, U01 EB025162, R03 EB031175, R01 NS095562, P41 EB031771, R01 NS105144, AG070826, R01 HL151686, P41 EB030006, R01 EB032378, R01HL151686, U01EB026996
- GHGE Healthcare
- WCWeill Cornell Medical College
- IOInstitute of Engineering Research, Seoul National University
- NHNational Heart, Lung, and Blood Institute
- NINational Institute of Mental Health
- NCNational Center for Advancing Translational SciencesAwards: UL1 TR001412, P41 EB031771
- HEH2020 European Research CouncilAward: DiSCo_MRI_SFN_770939