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Conference Paper: Enhanced Multi-Slice Partial Fourier MRI Reconstruction Using Residual Network

TitleEnhanced Multi-Slice Partial Fourier MRI Reconstruction Using Residual Network
Authors
Xie, LLiu, YXiao, LCao, PLeong, TLWu, EX
Issue Date2021
PublisherInternational Society of Magnetic Resonance Imaging (ISMRM) .
Citation
Proceedings of the 29th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), Virtual Conference, Vancouver, BC, Canada, 15-20 May 2021, paper no. 1976 How to Cite?
AbstractIn this work, we proposed a residual network based reconstruction method for multi-slice partial Fourier acquisition, where adjacent slices are sampled in a complementary way. The anatomical structure and phase similarity of multi-slice MR data can be exploited to provide complementary information from adjacent slices with different sampling patterns. The proposed method enables highly partial Fourier imaging without noise amplification.
DescriptionDigital Posters Session D-120: Machine Learning for Image Reconstruction - Machine Learning to Reconstruct Accelerated Scans - no. 1976
Persistent Identifierhttp://hdl.handle.net/10722/304352

 

DC FieldValueLanguage
dc.contributor.authorXie, L-
dc.contributor.authorLiu, Y-
dc.contributor.authorXiao, L-
dc.contributor.authorCao, P-
dc.contributor.authorLeong, TL-
dc.contributor.authorWu, EX-
dc.date.accessioned2021-09-23T08:58:51Z-
dc.date.available2021-09-23T08:58:51Z-
dc.date.issued2021-
dc.identifier.citationProceedings of the 29th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), Virtual Conference, Vancouver, BC, Canada, 15-20 May 2021, paper no. 1976-
dc.identifier.urihttp://hdl.handle.net/10722/304352-
dc.descriptionDigital Posters Session D-120: Machine Learning for Image Reconstruction - Machine Learning to Reconstruct Accelerated Scans - no. 1976-
dc.description.abstractIn this work, we proposed a residual network based reconstruction method for multi-slice partial Fourier acquisition, where adjacent slices are sampled in a complementary way. The anatomical structure and phase similarity of multi-slice MR data can be exploited to provide complementary information from adjacent slices with different sampling patterns. The proposed method enables highly partial Fourier imaging without noise amplification.-
dc.languageeng-
dc.publisherInternational Society of Magnetic Resonance Imaging (ISMRM) .-
dc.relation.ispartofISMRM (International Society of Magnetic Resonance Imaging) Virtual Conference & Exhibition, 2021-
dc.titleEnhanced Multi-Slice Partial Fourier MRI Reconstruction Using Residual Network-
dc.typeConference_Paper-
dc.identifier.emailLeong, TL: tlleong@hku.hk-
dc.identifier.emailWu, EX: ewu@eee.hku.hk-
dc.identifier.authorityLeong, TL=rp02483-
dc.identifier.authorityWu, EX=rp00193-
dc.identifier.hkuros325461-
dc.identifier.spage1976-
dc.identifier.epage1976-

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