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Conference Paper: Half-quadratic regularization for MRI image restoration

TitleHalf-quadratic regularization for MRI image restoration
Authors
KeywordsEngineering
Electrical engineering
Issue Date2003
PublisherIEEE.
Citation
IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, Hong Kong, China, 6-10 April 2003, v. 6, p. 585-588 How to Cite?
AbstractWe consider the reconstruction of MRI images by minimizing regularized cost-functions. To accelerate the computation of the estimate, two forms of half-quadratic regularization, multiplicative and additive, are often used. In Nikolova and Ng (2002), we have compared both theoretically and experimentally the efficiency of these two forms using one-dimensional signals. The goal of this paper is to compare experimentally the efficiency of these two forms using MRI image reconstruction. We find that using the additive form is more computationally effective than using the multiplicative form.
Persistent Identifierhttp://hdl.handle.net/10722/46609
ISSN

 

DC FieldValueLanguage
dc.contributor.authorDeriche, Ren_HK
dc.contributor.authorKornprobst, Pen_HK
dc.contributor.authorNikolova, Men_HK
dc.contributor.authorNg, KPen_HK
dc.date.accessioned2007-10-30T06:54:06Z-
dc.date.available2007-10-30T06:54:06Z-
dc.date.issued2003en_HK
dc.identifier.citationIEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, Hong Kong, China, 6-10 April 2003, v. 6, p. 585-588en_HK
dc.identifier.issn1520-6149en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46609-
dc.description.abstractWe consider the reconstruction of MRI images by minimizing regularized cost-functions. To accelerate the computation of the estimate, two forms of half-quadratic regularization, multiplicative and additive, are often used. In Nikolova and Ng (2002), we have compared both theoretically and experimentally the efficiency of these two forms using one-dimensional signals. The goal of this paper is to compare experimentally the efficiency of these two forms using MRI image reconstruction. We find that using the additive form is more computationally effective than using the multiplicative form.en_HK
dc.format.extent266612 bytes-
dc.format.extent4654 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectEngineeringen_HK
dc.subjectElectrical engineeringen_HK
dc.titleHalf-quadratic regularization for MRI image restorationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6149&volume=6&spage=585&epage=588&date=2003&atitle=Half-quadratic+regularization+for+MRI+image+restorationen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICASSP.2003.1201749en_HK
dc.identifier.hkuros76681-

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