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Can multi-parametric mapping sequences be used for accurate quantitative susceptibility mapping?

Murdoch, R; Kawadler, J; Carmichael, D; Kirkham, F; Shmueli, K; (2020) Can multi-parametric mapping sequences be used for accurate quantitative susceptibility mapping? In: Proceedings of the 2020 ISMRM & SMRT VIRTUAL CONFERENCE & EXHIBITION. (pp. pp. 1-3). International Society for Magnetic Resonance in Medicine (ISMRM) Green open access

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Abstract

We compared the results of Quantitative Susceptibility Mapping (QSM) in each of the Proton Density (PD-), Magnetization Transfer (MT-) and T1-weighted Multi-Echo Gradient-Echo (ME-GRE) sequences in Multi-Parametric Mapping (MPM) with QSM from a conventional ME-GRE sequence. In deep grey matter (GM) regions, we found significant susceptibility (χ) correlations between each sequence pair. Correlation coefficients were lower in white matter (WM), particularly in T1-w and MT-w sequences. Averaging χ over MPM sequences increased correlations in WM and reduced noise in GM and WM. Whole-brain χ difference maps showed the largest χ differences in and around large veins and air spaces.

Type: Proceedings paper
Title: Can multi-parametric mapping sequences be used for accurate quantitative susceptibility mapping?
Event: 2020 ISMRM & SMRT VIRTUAL CONFERENCE & EXHIBITION
Dates: 8th-14th August 2020
Open access status: An open access version is available from UCL Discovery
Publisher version: https://index.mirasmart.com/ISMRM2020/PDFfiles/320...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Neurosciences Dept
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10116376
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