| Optimisation of T(2)(*)-weighted MRI for the detection of small veins in multiple sclerosis at 3T and 7T. | |
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MedLine Citation:
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PMID: 22138119 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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T(2)(*)-weighted magnetic resonance imaging at 7T has recently been shown to allow differentiation between white-matter multiple sclerosis lesions and asymptomatic white-matter lesions, by the presence or absence of a detectable central blood vessel. The aim of the present work is to improve the technique by increasing the sensitivity to veins at both 3T and 7T, and to assess the benefit of ultra-high-field imaging. Signal-to-noise ratio (SNR) measurements and simulations are used to compare the sensitivity of magnitude T(2)(*)-weighted and susceptibility-weighted images for the detection of small veins (<1 pixel in diameter), both with and without the use of gadolinium. The simulations are used to predict the optimal scanning parameters in order to increase the sensitivity to these veins at both field strengths, and to reduce the inherent dependence on vessel orientation. The sensitivities of the sequences at both field strengths are compared, theoretically and experimentally, in order to quantify the benefit of imaging at ultra-high-field. Subjects with multiple sclerosis (MS) are scanned at both field strengths, using the optimised sequence parameters, as well as those used in previously published work, and the optimisation is shown to improve the detection of veins within lesions. |
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Authors:
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Jennifer Elizabeth Dixon; Ashley Simpson; Niraj Mistry; Nikos Evangelou; Peter Gordon Morris |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-2 |
Journal Detail:
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Title: European journal of radiology Volume: - ISSN: 1872-7727 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-5 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8106411 Medline TA: Eur J Radiol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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Sir Peter Mansfield Magnetic Resonance Centre, University of Nottingham, Nottingham, NG7 2RD, UK. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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