RESUME: Turning an SWI acquisition into a fast qMRI protocol
Susceptibility Weighted Imaging (SWI) is a common MRI technique that exploits the magnetic susceptibility differences between the tissues to provide valuable image contrasts, both in research and clinical contexts. However, despite its increased clinical use, SWI is not intrinsically suitable for qu...
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description | Susceptibility Weighted Imaging (SWI) is a common MRI technique that exploits the magnetic susceptibility differences between the tissues to provide valuable image contrasts, both in research and clinical contexts. However, despite its increased clinical use, SWI is not intrinsically suitable for quantitation purposes. Conversely, quantitative Magnetic Resonance Imaging (qMRI) provides a way to disentangle the sources of common MR image contrasts (e.g. proton density, T1, etc.) and to measure physical parameters intrinsically related to tissue microstructure. Unfortunately, the poor signal-to-noise ratio and resolution, coupled with the long imaging time of most qMRI strategies, have hindered the integration of quantitative imaging into clinical protocols. Here we present the RElaxometry and SUsceptibility Mapping Expedient (RESUME) to show that the standard acquisition leading to a clinical SWI dataset can be easily turned into a thorough qMRI protocol at the cost of a further 50% of the SWI scan time. The R1, [Formula: see text], proton density and magnetic susceptibility maps provided by the RESUME scheme alongside the SWI reconstruction exhibit high reproducibility and accuracy, and a submillimeter resolution is proven to be compatible with a total scan time of 7 minutes. |
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The R1, [Formula: see text], proton density and magnetic susceptibility maps provided by the RESUME scheme alongside the SWI reconstruction exhibit high reproducibility and accuracy, and a submillimeter resolution is proven to be compatible with a total scan time of 7 minutes.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0189933</identifier><identifier>PMID: 29261786</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Computer and Information Sciences ; Diagnostic imaging ; Gene mapping ; Iron ; Magnetic permeability ; Magnetic resonance ; Magnetic resonance imaging ; Magnetic susceptibility ; Mapping ; Medical imaging ; Medicine ; Medicine and Health Sciences ; Metabolism ; Methods ; Neuroimaging ; NMR ; Nuclear magnetic resonance ; Physical properties ; Physical Sciences ; Proton density (concentration) ; Quantitation ; Reproducibility ; Research and Analysis Methods ; Tissues</subject><ispartof>PloS one, 2017-12, Vol.12 (12), p.e0189933-e0189933</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Monti et al. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Monti et al 2017 Monti et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-e3d830adc4321baf85da2457a54adebc27e67fded4d6491f8ff35cf6b9c080f93</citedby><cites>FETCH-LOGICAL-c692t-e3d830adc4321baf85da2457a54adebc27e67fded4d6491f8ff35cf6b9c080f93</cites><orcidid>0000-0002-0210-268X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738122/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738122/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29261786$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Jiang, Quan</contributor><creatorcontrib>Monti, Serena</creatorcontrib><creatorcontrib>Borrelli, Pasquale</creatorcontrib><creatorcontrib>Tedeschi, Enrico</creatorcontrib><creatorcontrib>Cocozza, Sirio</creatorcontrib><creatorcontrib>Palma, Giuseppe</creatorcontrib><title>RESUME: Turning an SWI acquisition into a fast qMRI protocol</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Susceptibility Weighted Imaging (SWI) is a common MRI technique that exploits the magnetic susceptibility differences between the tissues to provide valuable image contrasts, both in research and clinical contexts. 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However, despite its increased clinical use, SWI is not intrinsically suitable for quantitation purposes. Conversely, quantitative Magnetic Resonance Imaging (qMRI) provides a way to disentangle the sources of common MR image contrasts (e.g. proton density, T1, etc.) and to measure physical parameters intrinsically related to tissue microstructure. Unfortunately, the poor signal-to-noise ratio and resolution, coupled with the long imaging time of most qMRI strategies, have hindered the integration of quantitative imaging into clinical protocols. Here we present the RElaxometry and SUsceptibility Mapping Expedient (RESUME) to show that the standard acquisition leading to a clinical SWI dataset can be easily turned into a thorough qMRI protocol at the cost of a further 50% of the SWI scan time. The R1, [Formula: see text], proton density and magnetic susceptibility maps provided by the RESUME scheme alongside the SWI reconstruction exhibit high reproducibility and accuracy, and a submillimeter resolution is proven to be compatible with a total scan time of 7 minutes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29261786</pmid><doi>10.1371/journal.pone.0189933</doi><tpages>e0189933</tpages><orcidid>https://orcid.org/0000-0002-0210-268X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biology and Life Sciences Computer and Information Sciences Diagnostic imaging Gene mapping Iron Magnetic permeability Magnetic resonance Magnetic resonance imaging Magnetic susceptibility Mapping Medical imaging Medicine Medicine and Health Sciences Metabolism Methods Neuroimaging NMR Nuclear magnetic resonance Physical properties Physical Sciences Proton density (concentration) Quantitation Reproducibility Research and Analysis Methods Tissues |
title | RESUME: Turning an SWI acquisition into a fast qMRI protocol |
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