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Article: An improved iterative SENSE reconstruction method

TitleAn improved iterative SENSE reconstruction method
Authors
KeywordsIterative reconstruction
Non-Cartesian trajectories
Parallel MRI
Regularization
SENSE
Issue Date2007
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/1043-7347:1/
Citation
Concepts In Magnetic Resonance Part B: Magnetic Resonance Engineering, 2007, v. 31 n. 1, p. 44-50 How to Cite?
AbstractThe conjugate-gradient (CG)-based non-Cartesian SENSE reconstruction usually exhibits unstable convergence behavior due to the ill conditioning of the generalized encoding matrix (GEM). To overcome this difficulty, an improved iterative SENSE approach is presented. During a so-called Lanczos iteration process, which is equally efficient as CG, the inversion of GEM can be gradually approximated by calculating inversions of a series of small tridiagonal matrices. In this fashion, inner regularization can be incorporated into the reconstruction without touching the iteration process. The degree of regularization can be determined based on the eigenvalue information provided by the Lanczos process. With inner regularization adaptively applied for every iteration vector, the convergence behavior of iterative SENSE can be significantly improved and noise amplification can be avoided. The feasibility of this novel iterative SENSE technique is demonstrated by radial and spiral MRI experiments. © 2007 Wiley Periodicals, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/73905
ISSN
2015 Impact Factor: 0.762
2015 SCImago Journal Rankings: 0.278
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorQu, Pen_HK
dc.contributor.authorLuo, Jen_HK
dc.contributor.authorZhang, Ben_HK
dc.contributor.authorWang, Jen_HK
dc.contributor.authorShen, GXen_HK
dc.date.accessioned2010-09-06T06:55:54Z-
dc.date.available2010-09-06T06:55:54Z-
dc.date.issued2007en_HK
dc.identifier.citationConcepts In Magnetic Resonance Part B: Magnetic Resonance Engineering, 2007, v. 31 n. 1, p. 44-50en_HK
dc.identifier.issn1552-5031en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73905-
dc.description.abstractThe conjugate-gradient (CG)-based non-Cartesian SENSE reconstruction usually exhibits unstable convergence behavior due to the ill conditioning of the generalized encoding matrix (GEM). To overcome this difficulty, an improved iterative SENSE approach is presented. During a so-called Lanczos iteration process, which is equally efficient as CG, the inversion of GEM can be gradually approximated by calculating inversions of a series of small tridiagonal matrices. In this fashion, inner regularization can be incorporated into the reconstruction without touching the iteration process. The degree of regularization can be determined based on the eigenvalue information provided by the Lanczos process. With inner regularization adaptively applied for every iteration vector, the convergence behavior of iterative SENSE can be significantly improved and noise amplification can be avoided. The feasibility of this novel iterative SENSE technique is demonstrated by radial and spiral MRI experiments. © 2007 Wiley Periodicals, Inc.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/1043-7347:1/en_HK
dc.relation.ispartofConcepts in Magnetic Resonance Part B: Magnetic Resonance Engineeringen_HK
dc.rightsConcepts in Magnetic Resonance Part B: Magnetic Resonance Engineering. Copyright © John Wiley & Sons, Inc.en_HK
dc.subjectIterative reconstructionen_HK
dc.subjectNon-Cartesian trajectoriesen_HK
dc.subjectParallel MRIen_HK
dc.subjectRegularizationen_HK
dc.subjectSENSEen_HK
dc.titleAn improved iterative SENSE reconstruction methoden_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1552-5031&volume=31B&spage=44&epage=50&date=2007&atitle=An+Improved+Iterative+SENSE+Reconstruction+Methoden_HK
dc.identifier.emailShen, GX: gxshen@eee.hku.hken_HK
dc.identifier.authorityShen, GX=rp00166en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/cmr.b.20076en_HK
dc.identifier.scopuseid_2-s2.0-33947540773en_HK
dc.identifier.hkuros137398en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33947540773&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume31en_HK
dc.identifier.issue1en_HK
dc.identifier.spage44en_HK
dc.identifier.epage50en_HK
dc.identifier.isiWOS:000244584500005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridQu, P=36838745800en_HK
dc.identifier.scopusauthoridLuo, J=55310869100en_HK
dc.identifier.scopusauthoridZhang, B=7406903536en_HK
dc.identifier.scopusauthoridWang, J=7701341056en_HK
dc.identifier.scopusauthoridShen, GX=7401967224en_HK

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