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Conference Paper: Accelerated Magnetic Resonance Fingerprinting Reconstruction using Majorization-Minimization

TitleAccelerated Magnetic Resonance Fingerprinting Reconstruction using Majorization-Minimization
Authors
Issue Date2017
PublisherInternational Society for Magnetic Resonance in Medicine.
Citation
The 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, HI., 22-27 April 2017. In Conference Proceedings, 2017, abstract no. 1356 How to Cite?
AbstractMagnetic resonance fingerprinting (MRF) is a novel and efficient method for the estimation of MR parameters, such as off-resonance (DB­0), proton density (PD), T1 and T2. Because of the highly undersampled readout that is conventionally used, large number of dynamics (e.g. <1000) are often acquired for maintaining the fidelity of MR parameter estimations (a.k.a. dictionary matching). In this study, we propose a new algorithm, MRF reconstruction using majorization-minimization (mmMRF), such that fidelity of dictionary matching can remain similar even when significantly less number of dynamics are available.
Persistent Identifierhttp://hdl.handle.net/10722/240986

 

DC FieldValueLanguage
dc.contributor.authorLi, Y-
dc.contributor.authorWang, S-
dc.contributor.authorHui, SK-
dc.contributor.authorCui, D-
dc.contributor.authorChang, HCC-
dc.contributor.authorWu, YC-
dc.date.accessioned2017-05-22T09:20:37Z-
dc.date.available2017-05-22T09:20:37Z-
dc.date.issued2017-
dc.identifier.citationThe 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, HI., 22-27 April 2017. In Conference Proceedings, 2017, abstract no. 1356-
dc.identifier.urihttp://hdl.handle.net/10722/240986-
dc.description.abstractMagnetic resonance fingerprinting (MRF) is a novel and efficient method for the estimation of MR parameters, such as off-resonance (DB­0), proton density (PD), T1 and T2. Because of the highly undersampled readout that is conventionally used, large number of dynamics (e.g. <1000) are often acquired for maintaining the fidelity of MR parameter estimations (a.k.a. dictionary matching). In this study, we propose a new algorithm, MRF reconstruction using majorization-minimization (mmMRF), such that fidelity of dictionary matching can remain similar even when significantly less number of dynamics are available.-
dc.languageeng-
dc.publisherInternational Society for Magnetic Resonance in Medicine.-
dc.relation.ispartofISMRM 2017 Annual Meeting & Exhibition Proceedings-
dc.titleAccelerated Magnetic Resonance Fingerprinting Reconstruction using Majorization-Minimization-
dc.typeConference_Paper-
dc.identifier.emailHui, SK: edshui@hku.hk-
dc.identifier.emailChang, HCC: hcchang@hku.hk-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityHui, SK=rp01832-
dc.identifier.authorityChang, HCC=rp02024-
dc.identifier.authorityWu, YC=rp00195-
dc.identifier.hkuros272202-
dc.publisher.placeUnited States-

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