Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, K.S. | - |
dc.contributor.author | Son, Y.D. | - |
dc.contributor.author | Cho, Z.H. | - |
dc.contributor.author | Ra, J.B. | - |
dc.contributor.author | Ye, J.C. | - |
dc.date.available | 2020-02-29T01:41:33Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2013-04 | - |
dc.identifier.issn | 1945-7928 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14934 | - |
dc.description.abstract | Dynamic positron emission tomography (PET) is widely used to measure variations of radiopharmaceuticals within the organs over time. However, conventional reconstruction algorithm can produce a noisy reconstruction if there are not sufficient photon counts. Hence, the main goal of this paper is to develop a novel spatio-temporal regularization approach that exploits inherent similarities within intra- and interframes to overcome the limitation. One of the main contributions of this paper is to demonstrate that such correlations can be exploited using a low rank constraint of overlapping similarity blocks. The resulting optimization framework is, however, non-smooth and non Lipschitz due to the low-rank penalty terms and Poisson log-likelihood. Therefore, we propose a novel globally convergent optimization method using the concave-convex procedure (CCCP) by exploiting Legendre-Fenchel transform, which overcomes the memory and computational limitations. We confirm that the proposed algorithm can provide significantly improved image quality and extract accurate kinetic parameters. © 2013 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.relation.isPartOf | Proceedings - International Symposium on Biomedical Imaging | - |
dc.title | Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1109/ISBI.2013.6556685 | - |
dc.identifier.bibliographicCitation | Proceedings - International Symposium on Biomedical Imaging, pp.1158 - 1161 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-84881619465 | - |
dc.citation.endPage | 1161 | - |
dc.citation.startPage | 1158 | - |
dc.citation.title | Proceedings - International Symposium on Biomedical Imaging | - |
dc.contributor.affiliatedAuthor | Son, Y.D. | - |
dc.contributor.affiliatedAuthor | Cho, Z.H. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | concave-convex procedure | - |
dc.subject.keywordAuthor | convex conjugate functions | - |
dc.subject.keywordAuthor | Dynamic PET reconstruction | - |
dc.subject.keywordAuthor | Legendre-Fenchel transform | - |
dc.subject.keywordAuthor | low-rank | - |
dc.subject.keywordAuthor | patch | - |
dc.subject.keywordPlus | Concave-convex procedure | - |
dc.subject.keywordPlus | Convex conjugates | - |
dc.subject.keywordPlus | Dynamic PET | - |
dc.subject.keywordPlus | Legendre-Fenchel transforms | - |
dc.subject.keywordPlus | low-rank | - |
dc.subject.keywordPlus | patch | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Medical imaging | - |
dc.subject.keywordPlus | Positron emission tomography | - |
dc.description.journalRegisteredClass | scopus | - |
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