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Application of Laplacian-based Methods to Multi-echo Phase Data for Accurate Susceptibility Mapping

Biondetti, E; Thomas, DL; Shmueli, K; (2016) Application of Laplacian-based Methods to Multi-echo Phase Data for Accurate Susceptibility Mapping. In: Proceedings of the 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine 2016. ISMRM: Singapore. Green open access

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Abstract

In Susceptibility Mapping (SM) using multi-echo gradient-echo phase data, unwrapping and/or background-Òeld removal is often performed using Laplacian-based methods. However, SM pipelines in the literature have applied these methods at di×erent stages. Here, using simulated and acquired images, we compared the performance of three pipelines that apply Laplacian-based methods at di× erent stages. We showed that Laplacian-based methods alter the linearity of the phase over time. We demonstrated that only a processing pipeline that takes this into account, i.e. by Òtting the multi-echo data over time to correctly estimate a Òeld map before applying Laplacian-based methods, gives accurate susceptibility values.

Type: Proceedings paper
Title: Application of Laplacian-based Methods to Multi-echo Phase Data for Accurate Susceptibility Mapping
Event: 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine 2016
Location: Singapore
Dates: 07 May 2016 - 13 May 2016
Open access status: An open access version is available from UCL Discovery
Publisher version: http://dev.ismrm.org/2016/1547.html
Language: English
Additional information: Copyright © 2015 ISMRM, All Rights Reserved.
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 Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
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/1508488
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