DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jae-Woong | ko |
dc.contributor.author | Lee, Sul-Li | ko |
dc.contributor.author | Choi, Seung Hong | ko |
dc.contributor.author | Park, Sung-Hong | ko |
dc.date.accessioned | 2019-01-23T05:32:27Z | - |
dc.date.available | 2019-01-23T05:32:27Z | - |
dc.date.created | 2018-12-13 | - |
dc.date.issued | 2018-06-21 | - |
dc.identifier.citation | International Society for Magnetic Resonance in Medicine 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10203/249561 | - |
dc.description.abstract | Quantitative magnetization transfer (qMT) imaging provides unique tissue contrast, but suffers from prolonged scan time and processing time. The current study suggests inter-slice MT acquisition and database-driven qMT parameter fitting in order to mitigate the problems. Inter-slice scanning takes advantage of incidental MT effects, and thus does not require separate MT preparation. It enabled us to complete the whole brain data acquisition within a clinically reasonable scan time of ~10 min. The employment of pre-defined database also greatly reduced the qMT processing time, while revealing consistent qMT maps compared to those from the conventional method. The proposed database-driven inter-slice qMT method can be a promising alternative of qMT imaging. | - |
dc.language | English | - |
dc.publisher | International Society for Magnetic Resonance in Medicine | - |
dc.title | Rapid whole brain qMT imaging with inter-slice MT effects and database-driven fitting approach | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | International Society for Magnetic Resonance in Medicine 2018 | - |
dc.identifier.conferencecountry | FR | - |
dc.identifier.conferencelocation | Paris, France | - |
dc.contributor.localauthor | Park, Sung-Hong | - |
dc.contributor.nonIdAuthor | Kim, Jae-Woong | - |
dc.contributor.nonIdAuthor | Lee, Sul-Li | - |
dc.contributor.nonIdAuthor | Choi, Seung Hong | - |
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