MR fingerprinting ASL: Sequence characterization and comparison with dynamic susceptibility contrast (DSC) MRI
MR Fingerprinting (MRF)‐based Arterial‐Spin‐Labeling (ASL) has the potential to measure multiple parameters such as cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 in a single scan. However, the previous reports have only demonstrated a proof‐of‐principle of the technique but have...
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| Veröffentlicht in: | NMR in biomedicine 2020-01, Vol.33 (1), p.e4202-n/a |
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| description | MR Fingerprinting (MRF)‐based Arterial‐Spin‐Labeling (ASL) has the potential to measure multiple parameters such as cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 in a single scan. However, the previous reports have only demonstrated a proof‐of‐principle of the technique but have not examined the performance of the sequence in the context of key imaging parameters. Furthermore, there has not been a study to directly compare the technique to clinically used perfusion method of dynamic‐susceptibility‐contrast (DSC) MRI. The present report consists of two studies. In the first study (N = 8), we examined the dependence of MRF‐ASL sequence on TR time pattern. Ten different TR patterns with a range of temporal characteristics were examined by both simulations and experiments. The results revealed that there was a significance dependence of the sequence performance on TR pattern (p |
| doi_str_mv | 10.1002/nbm.4202 |
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MR Fingerprinting (MRF)‐based Arterial‐Spin‐Labeling (ASL) was recently proposed as a new approach to assess the brain's hemodynamic function. The technique has the potential to measure multiple parameters simultaneously in a single scan. In this study, the dependence of MRF‐ASL sequence performance on TR pattern was investigated. Furthermore, we compared MRF‐ASL hemodynamic maps with those obtained with Gd‐based DSC MRI. MRF‐ASL is a promising alternative technique to Gd‐based perfusion MRI for non‐invasive, multi‐parametric perfusion assessment.</description><identifier>ISSN: 0952-3480</identifier><identifier>EISSN: 1099-1492</identifier><identifier>DOI: 10.1002/nbm.4202</identifier><identifier>PMID: 31682305</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adult ; arterial spin labeling ; Biological products ; Blood flow ; Cerebral blood flow ; Computer Simulation ; Contrast agents ; Contrast Media - chemistry ; Correlation coefficients ; Dependence ; dynamic susceptibility contrast perfusion imaging ; Female ; Fingerprinting ; gadolinium based contrast agent ; Humans ; Kinetics ; magnetic resonance fingerprinting ; Magnetic Resonance Imaging ; Male ; Numerical Analysis, Computer-Assisted ; Parameters ; Perfusion ; Reproducibility of Results ; Spin labeling ; Spin Labels ; Tracers</subject><ispartof>NMR in biomedicine, 2020-01, Vol.33 (1), p.e4202-n/a</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><rights>2020 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4382-382b91132a486f4ee435c1bdc7b3ce88d11b38d14e413706216091e4ea83cbd3</citedby><cites>FETCH-LOGICAL-c4382-382b91132a486f4ee435c1bdc7b3ce88d11b38d14e413706216091e4ea83cbd3</cites><orcidid>0000-0002-3820-2391 ; 0000-0003-0830-5960 ; 0000-0003-3871-1564</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fnbm.4202$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fnbm.4202$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31682305$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Su, Pan</creatorcontrib><creatorcontrib>Fan, Hongli</creatorcontrib><creatorcontrib>Liu, Peiying</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><creatorcontrib>Qiao, Ye</creatorcontrib><creatorcontrib>Hua, Jun</creatorcontrib><creatorcontrib>Lin, Doris</creatorcontrib><creatorcontrib>Jiang, Dengrong</creatorcontrib><creatorcontrib>Pillai, Jay J.</creatorcontrib><creatorcontrib>Hillis, Argye E.</creatorcontrib><creatorcontrib>Lu, Hanzhang</creatorcontrib><title>MR fingerprinting ASL: Sequence characterization and comparison with dynamic susceptibility contrast (DSC) MRI</title><title>NMR in biomedicine</title><addtitle>NMR Biomed</addtitle><description>MR Fingerprinting (MRF)‐based Arterial‐Spin‐Labeling (ASL) has the potential to measure multiple parameters such as cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 in a single scan. However, the previous reports have only demonstrated a proof‐of‐principle of the technique but have not examined the performance of the sequence in the context of key imaging parameters. Furthermore, there has not been a study to directly compare the technique to clinically used perfusion method of dynamic‐susceptibility‐contrast (DSC) MRI. The present report consists of two studies. In the first study (N = 8), we examined the dependence of MRF‐ASL sequence on TR time pattern. Ten different TR patterns with a range of temporal characteristics were examined by both simulations and experiments. The results revealed that there was a significance dependence of the sequence performance on TR pattern (p < 0.001), although there was not a single pattern that provided dramatically improvements. Among the TR patterns tested, a sinusoidal pattern with a period of 125 TRs provided an overall best estimation in terms of spatial consistency. These experimental observations were consistent with those of numerical simulations. In the second study (N = 8), we compared MRF‐ASL results with those of DSC MRI. It was found that MRF‐ASL and DSC MRI provided highly comparable maps of cerebral blood flow (CBF) and bolus‐arrival‐time (BAT), with spatial correlation coefficients of 0.79 and 0.91, respectively. However, in terms of quantitative values, BAT obtained with MRF‐ASL was considerably lower than that from DSC (p < 0.001), presumably because of the differences in tracer characteristics in terms of diffusible versus intravascular tracers. Test–retest assessment of MRF‐ASL MRI revealed that the spatial correlations of parametric maps were 0.997, 0.962, 0.746 and 0.863 for B1+, T1, CBF, and BAT, respectively. MRF‐ASL is a promising technique for assessing multiple perfusion parameters simultaneously without contrast agent.
MR Fingerprinting (MRF)‐based Arterial‐Spin‐Labeling (ASL) was recently proposed as a new approach to assess the brain's hemodynamic function. The technique has the potential to measure multiple parameters simultaneously in a single scan. In this study, the dependence of MRF‐ASL sequence performance on TR pattern was investigated. Furthermore, we compared MRF‐ASL hemodynamic maps with those obtained with Gd‐based DSC MRI. MRF‐ASL is a promising alternative technique to Gd‐based perfusion MRI for non‐invasive, multi‐parametric perfusion assessment.</description><subject>Adult</subject><subject>arterial spin labeling</subject><subject>Biological products</subject><subject>Blood flow</subject><subject>Cerebral blood flow</subject><subject>Computer Simulation</subject><subject>Contrast agents</subject><subject>Contrast Media - chemistry</subject><subject>Correlation coefficients</subject><subject>Dependence</subject><subject>dynamic susceptibility contrast perfusion imaging</subject><subject>Female</subject><subject>Fingerprinting</subject><subject>gadolinium based contrast agent</subject><subject>Humans</subject><subject>Kinetics</subject><subject>magnetic resonance fingerprinting</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Numerical Analysis, Computer-Assisted</subject><subject>Parameters</subject><subject>Perfusion</subject><subject>Reproducibility of Results</subject><subject>Spin labeling</subject><subject>Spin Labels</subject><subject>Tracers</subject><issn>0952-3480</issn><issn>1099-1492</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kUtPGzEUha2qqARaiV9QWeoGFkP9yozdBRKE8pCSViLsLY_nhhjNeILtAYVfj1MoLZW68UP-dO45PgjtUXJICWFffd0dCkbYOzSiRKmCCsXeoxFRY1ZwIck22onxlhAiBWcf0DanpWScjEfIz67wwvkbCKvgfMonfDyffsNzuBvAW8B2aYKxCYJ7NMn1HhvfYNt3KxNczNcHl5a4WXvTOYvjEC2skqtd69I6Yz4FExPeP51PDvDs6vIj2lqYNsKnl30XXZ99v55cFNOf55eT42lhBZfZs2S1opQzI2S5EACCjy2tG1vV3IKUDaU1z6sAQXlFSkZLoigIMJLbuuG76OhZdjXUHTQWNj5anSN2Jqx1b5x---LdUt_097piTFWEZIH9F4HQ54-ISXcuR2tb46EfomacUsXyTJXRL_-gt_0QfE6XKSZLIitF_wja0McYYPFqhhK96VDnDvWmw4x-_tv8K_i7tAwUz8CDa2H9XyH942T2S_AJBBKl4g</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Su, Pan</creator><creator>Fan, Hongli</creator><creator>Liu, Peiying</creator><creator>Li, Yang</creator><creator>Qiao, Ye</creator><creator>Hua, Jun</creator><creator>Lin, Doris</creator><creator>Jiang, Dengrong</creator><creator>Pillai, Jay J.</creator><creator>Hillis, Argye E.</creator><creator>Lu, Hanzhang</creator><general>Wiley Subscription Services, Inc</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3820-2391</orcidid><orcidid>https://orcid.org/0000-0003-0830-5960</orcidid><orcidid>https://orcid.org/0000-0003-3871-1564</orcidid></search><sort><creationdate>202001</creationdate><title>MR fingerprinting ASL: Sequence characterization and comparison with dynamic susceptibility contrast (DSC) MRI</title><author>Su, Pan ; Fan, Hongli ; Liu, Peiying ; Li, Yang ; Qiao, Ye ; Hua, Jun ; Lin, Doris ; Jiang, Dengrong ; Pillai, Jay J. ; Hillis, Argye E. ; Lu, Hanzhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4382-382b91132a486f4ee435c1bdc7b3ce88d11b38d14e413706216091e4ea83cbd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>arterial spin labeling</topic><topic>Biological products</topic><topic>Blood flow</topic><topic>Cerebral blood flow</topic><topic>Computer Simulation</topic><topic>Contrast agents</topic><topic>Contrast Media - chemistry</topic><topic>Correlation coefficients</topic><topic>Dependence</topic><topic>dynamic susceptibility contrast perfusion imaging</topic><topic>Female</topic><topic>Fingerprinting</topic><topic>gadolinium based contrast agent</topic><topic>Humans</topic><topic>Kinetics</topic><topic>magnetic resonance fingerprinting</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Numerical Analysis, Computer-Assisted</topic><topic>Parameters</topic><topic>Perfusion</topic><topic>Reproducibility of Results</topic><topic>Spin labeling</topic><topic>Spin Labels</topic><topic>Tracers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Su, Pan</creatorcontrib><creatorcontrib>Fan, Hongli</creatorcontrib><creatorcontrib>Liu, Peiying</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><creatorcontrib>Qiao, Ye</creatorcontrib><creatorcontrib>Hua, Jun</creatorcontrib><creatorcontrib>Lin, Doris</creatorcontrib><creatorcontrib>Jiang, Dengrong</creatorcontrib><creatorcontrib>Pillai, Jay J.</creatorcontrib><creatorcontrib>Hillis, Argye E.</creatorcontrib><creatorcontrib>Lu, Hanzhang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>NMR in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Su, Pan</au><au>Fan, Hongli</au><au>Liu, Peiying</au><au>Li, Yang</au><au>Qiao, Ye</au><au>Hua, Jun</au><au>Lin, Doris</au><au>Jiang, Dengrong</au><au>Pillai, Jay J.</au><au>Hillis, Argye E.</au><au>Lu, Hanzhang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MR fingerprinting ASL: Sequence characterization and comparison with dynamic susceptibility contrast (DSC) MRI</atitle><jtitle>NMR in biomedicine</jtitle><addtitle>NMR Biomed</addtitle><date>2020-01</date><risdate>2020</risdate><volume>33</volume><issue>1</issue><spage>e4202</spage><epage>n/a</epage><pages>e4202-n/a</pages><issn>0952-3480</issn><eissn>1099-1492</eissn><abstract>MR Fingerprinting (MRF)‐based Arterial‐Spin‐Labeling (ASL) has the potential to measure multiple parameters such as cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 in a single scan. However, the previous reports have only demonstrated a proof‐of‐principle of the technique but have not examined the performance of the sequence in the context of key imaging parameters. Furthermore, there has not been a study to directly compare the technique to clinically used perfusion method of dynamic‐susceptibility‐contrast (DSC) MRI. The present report consists of two studies. In the first study (N = 8), we examined the dependence of MRF‐ASL sequence on TR time pattern. Ten different TR patterns with a range of temporal characteristics were examined by both simulations and experiments. The results revealed that there was a significance dependence of the sequence performance on TR pattern (p < 0.001), although there was not a single pattern that provided dramatically improvements. Among the TR patterns tested, a sinusoidal pattern with a period of 125 TRs provided an overall best estimation in terms of spatial consistency. These experimental observations were consistent with those of numerical simulations. In the second study (N = 8), we compared MRF‐ASL results with those of DSC MRI. It was found that MRF‐ASL and DSC MRI provided highly comparable maps of cerebral blood flow (CBF) and bolus‐arrival‐time (BAT), with spatial correlation coefficients of 0.79 and 0.91, respectively. However, in terms of quantitative values, BAT obtained with MRF‐ASL was considerably lower than that from DSC (p < 0.001), presumably because of the differences in tracer characteristics in terms of diffusible versus intravascular tracers. Test–retest assessment of MRF‐ASL MRI revealed that the spatial correlations of parametric maps were 0.997, 0.962, 0.746 and 0.863 for B1+, T1, CBF, and BAT, respectively. MRF‐ASL is a promising technique for assessing multiple perfusion parameters simultaneously without contrast agent.
MR Fingerprinting (MRF)‐based Arterial‐Spin‐Labeling (ASL) was recently proposed as a new approach to assess the brain's hemodynamic function. The technique has the potential to measure multiple parameters simultaneously in a single scan. In this study, the dependence of MRF‐ASL sequence performance on TR pattern was investigated. Furthermore, we compared MRF‐ASL hemodynamic maps with those obtained with Gd‐based DSC MRI. MRF‐ASL is a promising alternative technique to Gd‐based perfusion MRI for non‐invasive, multi‐parametric perfusion assessment.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31682305</pmid><doi>10.1002/nbm.4202</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-3820-2391</orcidid><orcidid>https://orcid.org/0000-0003-0830-5960</orcidid><orcidid>https://orcid.org/0000-0003-3871-1564</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Access via Wiley Online Library |
| subjects | Adult arterial spin labeling Biological products Blood flow Cerebral blood flow Computer Simulation Contrast agents Contrast Media - chemistry Correlation coefficients Dependence dynamic susceptibility contrast perfusion imaging Female Fingerprinting gadolinium based contrast agent Humans Kinetics magnetic resonance fingerprinting Magnetic Resonance Imaging Male Numerical Analysis, Computer-Assisted Parameters Perfusion Reproducibility of Results Spin labeling Spin Labels Tracers |
| title | MR fingerprinting ASL: Sequence characterization and comparison with dynamic susceptibility contrast (DSC) MRI |
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