Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group

Author:

,Bilgic Berkin1ORCID,Costagli Mauro23ORCID,Chan Kwok‐Shing14ORCID,Duyn Jeff5,Langkammer Christian6ORCID,Lee Jongho7ORCID,Li Xu89ORCID,Liu Chunlei1011ORCID,Marques José P.4ORCID,Milovic Carlos12,Robinson Simon Daniel1314ORCID,Schweser Ferdinand1516ORCID,Shmueli Karin17ORCID,Spincemaille Pascal18ORCID,Straub Sina19ORCID,van Zijl Peter89,Wang Yi20,

Affiliation:

1. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School Charlestown Massachusetts USA

2. Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI) University of Genoa Genoa Italy

3. Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Pisa Italy

4. Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen The Netherlands

5. Advanced MRI Section, NINDS, National Institutes of Health Bethesda Maryland USA

6. Department of Neurology Medical University of Graz Graz Austria

7. Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea

8. Russell H. Morgan Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore Maryland USA

9. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute Baltimore Maryland USA

10. Department of Electrical Engineering and Computer Sciences University of California Berkeley California USA

11. Helen Wills Neuroscience Institute, University of California Berkeley California USA

12. School of Electrical Engineering (EIE) Pontificia Universidad Catolica de Valparaiso Valparaiso Chile

13. High Field MR Centre, Department of Biomedical Imaging and Image‐Guided Therapy Medical University of Vienna Vienna Austria

14. Centre of Advanced Imaging University of Queensland Brisbane Australia

15. Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo Buffalo New York USA

16. Center for Biomedical Imaging, Clinical and Translational Science Institute at the University at Buffalo Buffalo New York USA

17. Department of Medical Physics and Biomedical Engineering University College London London UK

18. MRI Research Institute Department of Radiology, Weill Cornell Medicine New York New York USA

19. Department of Radiology Mayo Clinic Jacksonville Florida USA

20. MRI Research Institute, Departments of Radiology and Biomedical Engineering, Cornell University New York New York USA

Abstract

AbstractThis 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.

Funder

Ministero della Salute

European Research Council

Harvard Medical School

University of Queensland

Philips

GE Healthcare

European Commission

Austrian Science Fund

National Research Foundation of Korea

Publisher

Wiley

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