Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group.

TitleRecommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group.
Publication TypeJournal Article
Year of Publication2023
AuthorsBilgic B, Costagli M, Chan K-S, Duyn J, Langkammer C, Lee J, Li X, Liu C, Marques JP, Milovic C, Robinson SDaniel, Schweser F, Shmueli K, Spincemaille P, Straub S, van Zijl P, Wang Y, Group IElectro-Ma
JournalArXiv
Date Published2023 Jul 05
ISSN2331-8422
Abstract

This article provides recommendations for implementing quantitative susceptibility mapping (QSM) for clinical brain research. It is a consensus of the ISMRM 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 give rise to the need in the neuroimaging community for guidelines on implementation. This article describes relevant considerations and provides specific implementation recommendations for all steps in QSM data acquisition, processing, analysis, and presentation in scientific publications. We recommend that data be acquired using a monopolar 3D multi-echo GRE sequence, that phase images be saved and exported in DICOM format and unwrapped using an exact unwrapping approach. Multi-echo images should be combined before background removal, and a brain mask created using a brain extraction tool with the incorporation of phase-quality-based masking. Background fields should be removed within the brain mask 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 whole brain as a region of interest in the analysis, and QSM results should be reported with - as a minimum - the acquisition and processing specifications listed in the last section of the article. These recommendations should facilitate clinical QSM research and lead to increased harmonization in data acquisition, analysis, and reporting.

DOI10.1002/jmri.27530
Alternate JournalArXiv
PubMed ID37461418
PubMed Central IDPMC10350101
Grant ListP41 EB031771 / EB / NIBIB NIH HHS / United States
R01 EB028797 / EB / NIBIB NIH HHS / United States
R03 EB031175 / EB / NIBIB NIH HHS / United States
R01 MH127104 / MH / NIMH NIH HHS / United States
R01 NS105144 / NS / NINDS NIH HHS / United States
R01 AG070826 / AG / NIA NIH HHS / United States
U01 EB026996 / EB / NIBIB NIH HHS / United States
P41 EB030006 / EB / NIBIB NIH HHS / United States
R01 NS095562 / NS / NINDS NIH HHS / United States
R01 EB032378 / EB / NIBIB NIH HHS / United States
U01 EB025162 / EB / NIBIB NIH HHS / United States
R01 NS114227 / NS / NINDS NIH HHS / United States
UL1 TR001412 / TR / NCATS NIH HHS / United States
R01 AG063842 / AG / NIA NIH HHS / United States
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065