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Conference Paper: Blind spectra decomposition of MRSI of the brain with tumor by sparse component analysis

TitleBlind spectra decomposition of MRSI of the brain with tumor by sparse component analysis
Authors
Issue Date2006
PublisherThe International Society for Magnetic Resonance in Medicine (ISMRM)
Citation
The International Society for Magnetic Resonance in Medicine 14th Scientific Meeting & Exhibition (ISMRM2006). Seattle, WA, 6-12 May 2006 How to Cite?
AbstractMagnetic Resonance Spectroscopy Imaging (MRSI) is suitable for analyzing brain tumor metabolites in vivo. Several tissue types may exist in the tumor lesion area, and thus the measured MR spectra are a linear superposition of the constituent spectra of each of the different tissues. In this abstract we describe a novel approach, based on sparse component analysis, to recover the constituent spectra from the measured mixtures. The method is applied to experimental MRSI data of a brain with tumor lesion, and promising result is obtained. Compared to the existing BSD and cNMF approaches, this method is relatively simple and very fast.
Persistent Identifierhttp://hdl.handle.net/10722/98764

 

DC FieldValueLanguage
dc.contributor.authorChang, Cen_HK
dc.contributor.authorMao, Xen_HK
dc.contributor.authorHung, YSen_HK
dc.contributor.authorYang, Jen_HK
dc.contributor.authorFung, PCWen_HK
dc.contributor.authorWu, EXen_HK
dc.date.accessioned2010-09-25T18:01:20Z-
dc.date.available2010-09-25T18:01:20Z-
dc.date.issued2006en_HK
dc.identifier.citationThe International Society for Magnetic Resonance in Medicine 14th Scientific Meeting & Exhibition (ISMRM2006). Seattle, WA, 6-12 May 2006en_HK
dc.identifier.urihttp://hdl.handle.net/10722/98764-
dc.description.abstractMagnetic Resonance Spectroscopy Imaging (MRSI) is suitable for analyzing brain tumor metabolites in vivo. Several tissue types may exist in the tumor lesion area, and thus the measured MR spectra are a linear superposition of the constituent spectra of each of the different tissues. In this abstract we describe a novel approach, based on sparse component analysis, to recover the constituent spectra from the measured mixtures. The method is applied to experimental MRSI data of a brain with tumor lesion, and promising result is obtained. Compared to the existing BSD and cNMF approaches, this method is relatively simple and very fast.-
dc.languageengen_HK
dc.publisherThe International Society for Magnetic Resonance in Medicine (ISMRM)-
dc.relation.ispartofThe International Society for Magnetic Resonance in Medicine Scientific Meeting & Exhibition (ISMRM)en_HK
dc.titleBlind spectra decomposition of MRSI of the brain with tumor by sparse component analysisen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChang, C: cqchang@eee.hku.hken_HK
dc.identifier.emailHung, YS: yshung@eee.hku.hken_HK
dc.identifier.emailYang, J: yj1118@mail.xitu.edu.cnen_HK
dc.identifier.emailFung, PCW: hrspfcw@hku.hken_HK
dc.identifier.emailWu, EX: ewu@eee.hku.hken_HK
dc.identifier.authorityChang, C=rp00095en_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.identifier.authorityWu, EX=rp00193en_HK
dc.identifier.hkuros132164en_HK
dc.identifier.spage2541en_HK

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