DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jin, Kyong Hwan | ko |
dc.contributor.author | Lee, Dong Wook | ko |
dc.contributor.author | Ye, Jong Chul | ko |
dc.date.accessioned | 2016-12-01T04:38:28Z | - |
dc.date.available | 2016-12-01T04:38:28Z | - |
dc.date.created | 2016-11-23 | - |
dc.date.created | 2016-11-23 | - |
dc.date.created | 2016-11-23 | - |
dc.date.created | 2016-11-23 | - |
dc.date.created | 2016-11-23 | - |
dc.date.issued | 2016-12 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.2, no.4, pp.480 - 495 | - |
dc.identifier.issn | 2333-9403 | - |
dc.identifier.uri | http://hdl.handle.net/10203/214379 | - |
dc.description.abstract | Parallel MRI (pMRI) and compressed sensing MRI (CS-MRI) have been considered as two distinct reconstruction problems. Inspired by recent k-space interpolation methods, an annihilating filter-based low-rank Hankel matrix approach is proposed as a general framework for sparsity-driven k-space interpolation method which unifies pMRI and CS-MRI. Specifically, our framework is based on a novel observation that the transform domain sparsity in the primary space implies the low-rankness of weighted Hankel matrix in the reciprocal space. This converts pMRI and CS-MRI to a k-space interpolation problem using a structured matrix completion. Experimental results using in vivo data for single/multicoil imaging as well as dynamic imaging confirmed that the proposed method outperforms the state-of-the-art pMRI and CS-MRI. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix | - |
dc.type | Article | - |
dc.identifier.wosid | 000390150200007 | - |
dc.type.rims | ART | - |
dc.citation.volume | 2 | - |
dc.citation.issue | 4 | - |
dc.citation.beginningpage | 480 | - |
dc.citation.endingpage | 495 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING | - |
dc.identifier.doi | 10.1109/TCI.2016.2601296 | - |
dc.contributor.localauthor | Ye, Jong Chul | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Annihilating filter | - |
dc.subject.keywordAuthor | cardinal spline | - |
dc.subject.keywordAuthor | compressed sensing | - |
dc.subject.keywordAuthor | parallel MRI | - |
dc.subject.keywordAuthor | pyramidal representation | - |
dc.subject.keywordAuthor | structured low rank block Hankel matrix completion | - |
dc.subject.keywordAuthor | wavelets | - |
dc.subject.keywordPlus | FINITE RATE | - |
dc.subject.keywordPlus | UNIFIED FORMULATION | - |
dc.subject.keywordPlus | DOMAIN THEORY | - |
dc.subject.keywordPlus | DYNAMIC MRI | - |
dc.subject.keywordPlus | K-SPACE | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | COMPLETION | - |
dc.subject.keywordPlus | SIGNALS | - |
dc.subject.keywordPlus | INNOVATION | - |
dc.subject.keywordPlus | INFORMATION | - |
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