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k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI

DC Field Value Language
dc.contributor.author김응엽-
dc.date.accessioned2015-04-24T16:39:38Z-
dc.date.available2015-04-24T16:39:38Z-
dc.date.issued2009-
dc.identifier.issn0740-3194-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/103931-
dc.description.abstractA model-based dynamic MRI called k-t BLAST/SENSE has drawn significant attention from the MR imaging community because of its improved spatio-temporal resolution. Recently, we showed that the k-t BLAST/SENSE corresponds to the special case of a new dynamic MRI algorithm called k-t FOCUSS that is optimal from a compressed sensing perspective. The main contribution of this article is an extension of k-t FOCUSS to a more general framework with prediction and residual encoding, where the prediction provides an initial estimate and the residual encoding takes care of the remaining residual signals. Two prediction methods, RIGR and motion estimation/compensation scheme, are proposed, which significantly sparsify the residual signals. Then, using a more sophisticated random sampling pattern and optimized temporal transform, the residual signal can be effectively estimated from a very small number of k-t samples. Experimental results show that excellent reconstruction can be achieved even from severely limited k-t samples without aliasing artifacts-
dc.description.statementOfResponsibilityopen-
dc.format.extent103~116-
dc.relation.isPartOfMAGNETIC RESONANCE IN MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAlgorithms*-
dc.subject.MESHBrain/anatomy & histology*-
dc.subject.MESHData Compression/methods*-
dc.subject.MESHHeart/anatomy & histology*-
dc.subject.MESHHumans-
dc.subject.MESHImage Enhancement/methods*-
dc.subject.MESHImage Interpretation, Computer-Assisted/methods*-
dc.subject.MESHMagnetic Resonance Imaging/instrumentation-
dc.subject.MESHMagnetic Resonance Imaging/methods*-
dc.subject.MESHPhantoms, Imaging-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHSensitivity and Specificity-
dc.titlek-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorHong Jung-
dc.contributor.googleauthorKyunghyun Sung-
dc.contributor.googleauthorKrishna S. Nayak-
dc.contributor.googleauthorEung Yeop Kim-
dc.contributor.googleauthorJong Chul Ye-
dc.identifier.doi10.1002/mrm.21757-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00832-
dc.relation.journalcodeJ02179-
dc.identifier.eissn1522-2594-
dc.identifier.pmid19097216-
dc.identifier.urlhttp://onlinelibrary.wiley.com/doi/10.1002/mrm.21757/abstract-
dc.subject.keywordk-t BLAST/SENSE-
dc.subject.keywordRIGR-
dc.subject.keywordME/MC-
dc.subject.keywordSPEAR-
dc.subject.keywordcom-pressed sensing-
dc.subject.keywordFOCUSS-
dc.contributor.alternativeNameKim, Eung Yeop-
dc.contributor.affiliatedAuthorKim, Eung Yeop-
dc.citation.volume61-
dc.citation.number1-
dc.citation.startPage103-
dc.citation.endPage116-
dc.identifier.bibliographicCitationMAGNETIC RESONANCE IN MEDICINE, Vol.61(1) : 103-116, 2009-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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