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Conference Paper: Mixed LS-TLS method for optimal SENSE reconstruction

TitleMixed LS-TLS method for optimal SENSE reconstruction
Authors
Qu, PYuan, JWei, JShen, GG
Issue Date2005
PublisherInternational Society for Magnetic Resonance in Medicine.
Citation
International Society for Magnetic Resonance in Medicine 13th Scientific Meeting & Exhibition, Miami, FL, 7-13 May 2005, p. 2456 How to Cite?
AbstractIn SENSE reconstruction, since the noise distributions in sensitivity maps are usually non-uniform, neither the LS solution nor TLS solution is optimal to invert sensitivity matrix. In this work a mixed LS-TLS method is proposed for SENSE unfolding process. This hybrid method takes the spatial distribution of sensitivity noises into account and it is proven more effective than both LS and TLS methods.
Persistent Identifierhttp://hdl.handle.net/10722/99717

 

DC FieldValueLanguage
dc.contributor.authorQu, Pen_HK
dc.contributor.authorYuan, Jen_HK
dc.contributor.authorWei, Jen_HK
dc.contributor.authorShen, GGen_HK
dc.date.accessioned2010-09-25T18:41:29Z-
dc.date.available2010-09-25T18:41:29Z-
dc.date.issued2005en_HK
dc.identifier.citationInternational Society for Magnetic Resonance in Medicine 13th Scientific Meeting & Exhibition, Miami, FL, 7-13 May 2005, p. 2456en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99717-
dc.description.abstractIn SENSE reconstruction, since the noise distributions in sensitivity maps are usually non-uniform, neither the LS solution nor TLS solution is optimal to invert sensitivity matrix. In this work a mixed LS-TLS method is proposed for SENSE unfolding process. This hybrid method takes the spatial distribution of sensitivity noises into account and it is proven more effective than both LS and TLS methods.-
dc.languageengen_HK
dc.publisherInternational Society for Magnetic Resonance in Medicine.en_HK
dc.relation.ispartofInternational Society for Magnetic Resonance in Medicine Scientific Meeting & Exhibitionen_HK
dc.titleMixed LS-TLS method for optimal SENSE reconstructionen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailShen, GG: gxshen@eee.hku.hken_HK
dc.identifier.authorityShen, GG=rp00166en_HK
dc.identifier.hkuros104535en_HK
dc.identifier.volume, v. 1en_HK
dc.identifier.spage2456en_HK

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