In vivo multi-slice mapping of myelin water content using T2 decay
Quantitative assessment of the myelin water content in the brain can substantially improve our understanding of white matter diseases such as multiple sclerosis. In this study, in vivo myelin water content was estimated using T2* relaxation with multi-slice acquisitions in magnetic resonance imaging...
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description | Quantitative assessment of the myelin water content in the brain can substantially improve our understanding of white matter diseases such as multiple sclerosis. In this study, in vivo myelin water content was estimated using T2* relaxation with multi-slice acquisitions in magnetic resonance imaging (MRI). The main advantages of using T2* relaxation are (1) a low specific absorption rate (SAR), which is especially beneficial for imaging at high field strengths, (2) a short first-echo time (∼2ms) and short echo spacing (∼1ms), which allows for the acquisition of multiple sampling points during the fast decay of the myelin water signal, and (3) fast multi-slice acquisitions. High-resolution and multi-slice myelin water fraction (MWF) maps were obtained in a clinically acceptable scan time at 3T. Five healthy adults were scanned with a multi-gradient-echo sequence to acquire T2* signal decay data. Images with a dimension of 256×256 at eight slice locations were acquired in 8.5min with a signal-to-noise ratio (SNR) of 94.8 in the first-echo images. The SNR was further increased by using an anisotropic diffusion filter. Local field gradients (LFG) were estimated from the acquired multi-slice data, and the LFG-induced signal decays were corrected with a first-order approximation of LFG using the sinc function. The corrected T2* signal decays were analyzed with a three-pool model to quantify MWF. Our results demonstrate the feasibility of in vivo multi-slice mapping of MWF using multi-compartmental analysis of the T2* signal decay. |
doi_str_mv | 10.1016/j.neuroimage.2010.04.023 |
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In this study, in vivo myelin water content was estimated using T2* relaxation with multi-slice acquisitions in magnetic resonance imaging (MRI). The main advantages of using T2* relaxation are (1) a low specific absorption rate (SAR), which is especially beneficial for imaging at high field strengths, (2) a short first-echo time (∼2ms) and short echo spacing (∼1ms), which allows for the acquisition of multiple sampling points during the fast decay of the myelin water signal, and (3) fast multi-slice acquisitions. High-resolution and multi-slice myelin water fraction (MWF) maps were obtained in a clinically acceptable scan time at 3T. Five healthy adults were scanned with a multi-gradient-echo sequence to acquire T2* signal decay data. Images with a dimension of 256×256 at eight slice locations were acquired in 8.5min with a signal-to-noise ratio (SNR) of 94.8 in the first-echo images. The SNR was further increased by using an anisotropic diffusion filter. Local field gradients (LFG) were estimated from the acquired multi-slice data, and the LFG-induced signal decays were corrected with a first-order approximation of LFG using the sinc function. The corrected T2* signal decays were analyzed with a three-pool model to quantify MWF. Our results demonstrate the feasibility of in vivo multi-slice mapping of MWF using multi-compartmental analysis of the T2* signal decay.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2010.04.023</identifier><identifier>PMID: 20398770</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Algorithms ; Anisotropy ; Body Water - metabolism ; Brain ; Brain - metabolism ; Brain Mapping - methods ; Data processing ; Diffusion ; Health Status ; Humans ; Magnetic Resonance Imaging - methods ; Middle Aged ; Multi-compartment analysis ; Myelin Sheath - metabolism ; Myelin water fraction ; Noise ; Signal Processing, Computer-Assisted ; T2 relaxation ; Three-pool model ; Time Factors ; White matter</subject><ispartof>NeuroImage (Orlando, Fla.), 2010-08, Vol.52 (1), p.198-204</ispartof><rights>2010 Elsevier Inc.</rights><rights>Copyright 2010 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Aug 1, 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-9779faca9d104c585642aca773d894230f7ff6aab69f5b67e677f8020a795abc3</citedby><cites>FETCH-LOGICAL-c316t-9779faca9d104c585642aca773d894230f7ff6aab69f5b67e677f8020a795abc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1506838724?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,64361,64363,64365,65309,72215</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20398770$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hwang, Dosik</creatorcontrib><creatorcontrib>Kim, Dong-Hyun</creatorcontrib><creatorcontrib>Du, Yiping P.</creatorcontrib><title>In vivo multi-slice mapping of myelin water content using T2 decay</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>Quantitative assessment of the myelin water content in the brain can substantially improve our understanding of white matter diseases such as multiple sclerosis. In this study, in vivo myelin water content was estimated using T2* relaxation with multi-slice acquisitions in magnetic resonance imaging (MRI). The main advantages of using T2* relaxation are (1) a low specific absorption rate (SAR), which is especially beneficial for imaging at high field strengths, (2) a short first-echo time (∼2ms) and short echo spacing (∼1ms), which allows for the acquisition of multiple sampling points during the fast decay of the myelin water signal, and (3) fast multi-slice acquisitions. High-resolution and multi-slice myelin water fraction (MWF) maps were obtained in a clinically acceptable scan time at 3T. Five healthy adults were scanned with a multi-gradient-echo sequence to acquire T2* signal decay data. Images with a dimension of 256×256 at eight slice locations were acquired in 8.5min with a signal-to-noise ratio (SNR) of 94.8 in the first-echo images. The SNR was further increased by using an anisotropic diffusion filter. Local field gradients (LFG) were estimated from the acquired multi-slice data, and the LFG-induced signal decays were corrected with a first-order approximation of LFG using the sinc function. The corrected T2* signal decays were analyzed with a three-pool model to quantify MWF. Our results demonstrate the feasibility of in vivo multi-slice mapping of MWF using multi-compartmental analysis of the T2* signal decay.</description><subject>Adult</subject><subject>Algorithms</subject><subject>Anisotropy</subject><subject>Body Water - metabolism</subject><subject>Brain</subject><subject>Brain - metabolism</subject><subject>Brain Mapping - methods</subject><subject>Data processing</subject><subject>Diffusion</subject><subject>Health Status</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Middle Aged</subject><subject>Multi-compartment analysis</subject><subject>Myelin Sheath - metabolism</subject><subject>Myelin water fraction</subject><subject>Noise</subject><subject>Signal Processing, Computer-Assisted</subject><subject>T2 relaxation</subject><subject>Three-pool model</subject><subject>Time Factors</subject><subject>White matter</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkE2PFCEQQInRuB_6FwyJB089FtA0cHQ36m6yiZf1TBi62DDphhG6x8y_l8msmnjxVFTxqgoeIZTBhgEbPu42CdeS4-yecMOhlaHfABcvyCUDIzsjFX95OkvRacbMBbmqdQcAhvX6NbngIIxWCi7JzX2ih3jIdF6nJXZ1ih7p7Pb7mJ5oDnQ-4hQT_ekWLNTntGBa6FpPt4-cjujd8Q15FdxU8e1zvCbfv3x-vL3rHr59vb_99NB5wYalM0qZ4LwzI4PeSy2HnrdUKTFq03MBQYUwOLcdTJDbQeGgVNDAwSkj3daLa_LhPHdf8o8V62LnWD1Ok0uY12qVEFy3_8lGvv-H3OW1pPY4yyQMWmjF-0bpM-VLrrVgsPvSjJajZWBPmu3O_tVsT5ot9LZpbq3vnhes2xnHP42_vTbg5gxgE3KIWGz1EZPHMRb0ix1z_P-WX46AkhA</recordid><startdate>20100801</startdate><enddate>20100801</enddate><creator>Hwang, Dosik</creator><creator>Kim, Dong-Hyun</creator><creator>Du, Yiping P.</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20100801</creationdate><title>In vivo multi-slice mapping of myelin water content using T2 decay</title><author>Hwang, Dosik ; Kim, Dong-Hyun ; Du, Yiping P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-9779faca9d104c585642aca773d894230f7ff6aab69f5b67e677f8020a795abc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adult</topic><topic>Algorithms</topic><topic>Anisotropy</topic><topic>Body Water - metabolism</topic><topic>Brain</topic><topic>Brain - metabolism</topic><topic>Brain Mapping - methods</topic><topic>Data processing</topic><topic>Diffusion</topic><topic>Health Status</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Middle Aged</topic><topic>Multi-compartment analysis</topic><topic>Myelin Sheath - metabolism</topic><topic>Myelin water fraction</topic><topic>Noise</topic><topic>Signal Processing, Computer-Assisted</topic><topic>T2 relaxation</topic><topic>Three-pool model</topic><topic>Time Factors</topic><topic>White matter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hwang, Dosik</creatorcontrib><creatorcontrib>Kim, Dong-Hyun</creatorcontrib><creatorcontrib>Du, Yiping P.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Databases</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hwang, Dosik</au><au>Kim, Dong-Hyun</au><au>Du, Yiping P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In vivo multi-slice mapping of myelin water content using T2 decay</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2010-08-01</date><risdate>2010</risdate><volume>52</volume><issue>1</issue><spage>198</spage><epage>204</epage><pages>198-204</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>Quantitative assessment of the myelin water content in the brain can substantially improve our understanding of white matter diseases such as multiple sclerosis. In this study, in vivo myelin water content was estimated using T2* relaxation with multi-slice acquisitions in magnetic resonance imaging (MRI). The main advantages of using T2* relaxation are (1) a low specific absorption rate (SAR), which is especially beneficial for imaging at high field strengths, (2) a short first-echo time (∼2ms) and short echo spacing (∼1ms), which allows for the acquisition of multiple sampling points during the fast decay of the myelin water signal, and (3) fast multi-slice acquisitions. High-resolution and multi-slice myelin water fraction (MWF) maps were obtained in a clinically acceptable scan time at 3T. Five healthy adults were scanned with a multi-gradient-echo sequence to acquire T2* signal decay data. Images with a dimension of 256×256 at eight slice locations were acquired in 8.5min with a signal-to-noise ratio (SNR) of 94.8 in the first-echo images. The SNR was further increased by using an anisotropic diffusion filter. Local field gradients (LFG) were estimated from the acquired multi-slice data, and the LFG-induced signal decays were corrected with a first-order approximation of LFG using the sinc function. The corrected T2* signal decays were analyzed with a three-pool model to quantify MWF. Our results demonstrate the feasibility of in vivo multi-slice mapping of MWF using multi-compartmental analysis of the T2* signal decay.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>20398770</pmid><doi>10.1016/j.neuroimage.2010.04.023</doi><tpages>7</tpages></addata></record> |
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subjects | Adult Algorithms Anisotropy Body Water - metabolism Brain Brain - metabolism Brain Mapping - methods Data processing Diffusion Health Status Humans Magnetic Resonance Imaging - methods Middle Aged Multi-compartment analysis Myelin Sheath - metabolism Myelin water fraction Noise Signal Processing, Computer-Assisted T2 relaxation Three-pool model Time Factors White matter |
title | In vivo multi-slice mapping of myelin water content using T2 decay |
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