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Conference Paper: Improved Iterative Non-Cartesian SENSE Reconstruction using Inner-regularization

TitleImproved Iterative Non-Cartesian SENSE Reconstruction using Inner-regularization
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, p. 13 How to Cite?
AbstractThe conjugate-gradient (CG)-based non-Cartesian SENSE reconstruction in many cases exhibits unstable convergence behavior. This is because the generalized encoding matrix (GEM) is usually seriously ill-conditioned due to the large dimension and the mixed encoding scheme. To overcome this difficulty, an improved iterative SENSE approach is presented. During a so-called Lanczos iteration process, inner-regularization can be incorporated into the reconstruction without touching the iteration process. With inner-regularization adaptively applied for every iteration loop, the convergence behavior of iterative SENSE can be significantly improved and noise booming can be avoided.
Persistent Identifierhttp://hdl.handle.net/10722/99239

 

DC FieldValueLanguage
dc.contributor.authorQu, Pen_HK
dc.contributor.authorZhang, Ben_HK
dc.contributor.authorLuo, Jen_HK
dc.contributor.authorWang, Jen_HK
dc.contributor.authorShen, GGen_HK
dc.date.accessioned2010-09-25T18:21:30Z-
dc.date.available2010-09-25T18:21:30Z-
dc.date.issued2006en_HK
dc.identifier.citationThe International Society for Magnetic Resonance in Medicine 14th Scientific Meeting & Exhibition (ISMRM2006). Seattle, WA, 6-12 May 2006, p. 13en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99239-
dc.description.abstractThe conjugate-gradient (CG)-based non-Cartesian SENSE reconstruction in many cases exhibits unstable convergence behavior. This is because the generalized encoding matrix (GEM) is usually seriously ill-conditioned due to the large dimension and the mixed encoding scheme. To overcome this difficulty, an improved iterative SENSE approach is presented. During a so-called Lanczos iteration process, inner-regularization can be incorporated into the reconstruction without touching the iteration process. With inner-regularization adaptively applied for every iteration loop, the convergence behavior of iterative SENSE can be significantly improved and noise booming can be avoided.-
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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleImproved Iterative Non-Cartesian SENSE Reconstruction using Inner-regularizationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailShen, GG: gxshen@eee.hku.hken_HK
dc.identifier.authorityShen, GG=rp00166en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros121283en_HK
dc.identifier.spage13en_HK

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