A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field

Objective The aim of this study was to compare the use of high-resolution phase and QSM images acquired at ultra-high field in the investigation of multiple sclerosis (MS) lesions with peripheral rings, and to discuss their usefulness for drawing inferences about underlying tissue composition....

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Main Authors: Cronin, Matthew John, Wharton, Samuel, Al-Radaideh, Ali, Constantinescu, Chris, Evangelou, Nikos, Bowtell, Richard W., Gowland, Penny A.
Format: Article
Published: Springer 2016
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Online Access:https://eprints.nottingham.ac.uk/37164/
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author Cronin, Matthew John
Wharton, Samuel
Al-Radaideh, Ali
Constantinescu, Chris
Evangelou, Nikos
Bowtell, Richard W.
Gowland, Penny A.
author_facet Cronin, Matthew John
Wharton, Samuel
Al-Radaideh, Ali
Constantinescu, Chris
Evangelou, Nikos
Bowtell, Richard W.
Gowland, Penny A.
author_sort Cronin, Matthew John
building Nottingham Research Data Repository
collection Online Access
description Objective The aim of this study was to compare the use of high-resolution phase and QSM images acquired at ultra-high field in the investigation of multiple sclerosis (MS) lesions with peripheral rings, and to discuss their usefulness for drawing inferences about underlying tissue composition. Materials and methods Thirty-nine Subjects were scanned at 7 T, using 3D T2*-weighted and T1-weighted sequences. Phase images were then unwrapped and filtered, and quantitative susceptibility maps were generated using a thresholded k-space division method. Lesions were compared visually and using a 1D profiling algorithm. Results Lesions displaying peripheral rings in the phase images were identified in 10 of the 39 subjects. Dipolar projections were apparent in the phase images outside of the extent of several of these lesions; however, QSM images showed peripheral rings without such projections. These projections appeared ring-like in a small number of phase images where no ring was observed in QSM. 1D profiles of six well-isolated example lesions showed that QSM contrast corresponds more closely to the magnitude images than phase contrast. Conclusions Phase images contain dipolar projections, which confounds their use in the investigation of tissue composition in MS lesions. Quantitative susceptibility maps correct these projections, providing insight into the composition of MS lesions showing peripheral rings.
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spelling nottingham-371642020-05-04T17:48:21Z https://eprints.nottingham.ac.uk/37164/ A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field Cronin, Matthew John Wharton, Samuel Al-Radaideh, Ali Constantinescu, Chris Evangelou, Nikos Bowtell, Richard W. Gowland, Penny A. Objective The aim of this study was to compare the use of high-resolution phase and QSM images acquired at ultra-high field in the investigation of multiple sclerosis (MS) lesions with peripheral rings, and to discuss their usefulness for drawing inferences about underlying tissue composition. Materials and methods Thirty-nine Subjects were scanned at 7 T, using 3D T2*-weighted and T1-weighted sequences. Phase images were then unwrapped and filtered, and quantitative susceptibility maps were generated using a thresholded k-space division method. Lesions were compared visually and using a 1D profiling algorithm. Results Lesions displaying peripheral rings in the phase images were identified in 10 of the 39 subjects. Dipolar projections were apparent in the phase images outside of the extent of several of these lesions; however, QSM images showed peripheral rings without such projections. These projections appeared ring-like in a small number of phase images where no ring was observed in QSM. 1D profiles of six well-isolated example lesions showed that QSM contrast corresponds more closely to the magnitude images than phase contrast. Conclusions Phase images contain dipolar projections, which confounds their use in the investigation of tissue composition in MS lesions. Quantitative susceptibility maps correct these projections, providing insight into the composition of MS lesions showing peripheral rings. Springer 2016-06-01 Article PeerReviewed Cronin, Matthew John, Wharton, Samuel, Al-Radaideh, Ali, Constantinescu, Chris, Evangelou, Nikos, Bowtell, Richard W. and Gowland, Penny A. (2016) A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field. Magnetic Resonance Materials in Physics, Biology and Medicine, 29 (3). pp. 543-557. ISSN 1352-8661 Magnetic resonance imaging Multiple sclerosis White matter Iron Myelin http://link.springer.com/article/10.1007/s10334-016-0560-5 doi:10.1007/s10334-016-0560-5 doi:10.1007/s10334-016-0560-5
spellingShingle Magnetic resonance imaging
Multiple sclerosis
White matter
Iron
Myelin
Cronin, Matthew John
Wharton, Samuel
Al-Radaideh, Ali
Constantinescu, Chris
Evangelou, Nikos
Bowtell, Richard W.
Gowland, Penny A.
A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field
title A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field
title_full A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field
title_fullStr A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field
title_full_unstemmed A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field
title_short A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field
title_sort comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field
topic Magnetic resonance imaging
Multiple sclerosis
White matter
Iron
Myelin
url https://eprints.nottingham.ac.uk/37164/
https://eprints.nottingham.ac.uk/37164/
https://eprints.nottingham.ac.uk/37164/