QSMART: Quantitative susceptibility mapping artifact reduction technique.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 05 2021
Historique:
received: 10 09 2020
revised: 19 12 2020
accepted: 21 12 2020
pubmed: 24 1 2021
medline: 16 10 2021
entrez: 23 1 2021
Statut: ppublish

Résumé

Quantitative susceptibility mapping (QSM) is a novel MR technique that allows mapping of tissue susceptibility values from MR phase images. QSM is an ill-conditioned inverse problem, and although several methods have been proposed in the field, in the presence of a wide range of susceptibility sources, streaking artifacts appear around high susceptibility regions and contaminate the whole QSM map. QSMART is a post-processing pipeline that uses two-stage parallel inversion to reduce the streaking artifacts and remove banding artifact at the cortical surface and around the vasculature. Tissue and vein susceptibility values were separately estimated by generating a mask of vasculature driven from the magnitude data using a Frangi filter. Spatially dependent filtering was used for the background field removal step and the two susceptibility estimates were combined in the final QSM map. QSMART was compared to RESHARP/iLSQR and V-SHARP/iLSQR inversion in a numerical phantom, 7T in vivo single and multiple-orientation scans, 9.4T ex vivo mouse data, and 4.7T in vivo rat brain with induced focal ischemia. Spatially dependent filtering showed better suppression of phase artifacts near cortex compared to RESHARP and V-SHARP, while preserving voxels located within regions of interest without brain edge erosion. QSMART showed successful reduction of streaking artifacts as well as improved contrast between different brain tissues compared to the QSM maps obtained by RESHARP/iLSQR and V-SHARP/iLSQR. QSMART can reduce QSM artifacts to enable more robust estimation of susceptibility values in vivo and ex vivo.

Identifiants

pubmed: 33484853
pii: S1053-8119(20)31186-1
doi: 10.1016/j.neuroimage.2020.117701
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

117701

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Negin Yaghmaie (N)

Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Biomedical Engineering, The University of Melbourne, Australia.

Warda T Syeda (WT)

Melbourne Neuropsychiatry Centre, The University of Melbourne, Australia; Department of Medicine and Radiology, The University of Melbourne, Australia.

Chengchuan Wu (C)

Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Biomedical Engineering, The University of Melbourne, Australia.

Yicheng Zhang (Y)

Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Biomedical Engineering, The University of Melbourne, Australia.

Tracy D Zhang (TD)

Florey Institute of Neuroscience and Mental Health, Australia.

Emma L Burrows (EL)

Florey Institute of Neuroscience and Mental Health, Australia.

Amy Brodtmann (A)

Florey Institute of Neuroscience and Mental Health, Australia.

Bradford A Moffat (BA)

Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Medicine and Radiology, The University of Melbourne, Australia.

David K Wright (DK)

Department of Neuroscience, Central Clinical School, Monash University, Australia.

Rebecca Glarin (R)

Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Radiology, Royal Melbourne Hospital, Australia.

Scott Kolbe (S)

Department of Medicine and Radiology, The University of Melbourne, Australia; Department of Neuroscience, Central Clinical School, Monash University, Australia; Department of Radiology, Alfred Hospital, Australia.

Leigh A Johnston (LA)

Melbourne Brain Centre Imaging Unit, The University of Melbourne, Australia; Department of Biomedical Engineering, The University of Melbourne, Australia; Department of Medicine and Radiology, The University of Melbourne, Australia. Electronic address: l.johnston@unimelb.edu.au.

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