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Conference Paper: Application of Tikhonov regularization to super-resolution reconstruction of brain MRI images
Title | Application of Tikhonov regularization to super-resolution reconstruction of brain MRI images |
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Authors | |
Keywords | MRI Super-resolution Reconstruction Tikhonov Regularization |
Issue Date | 2008 |
Publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ |
Citation | 2nd International Conference on Medical Imaging and Informatics, MIMI 2007, Beijing, China, 14-16 August 2007. In Lecture Notes In Computer Science, 2008, v. 4987, p. 51-56 How to Cite? |
Abstract | This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, using a standard model of imaging process and reformulating the reconstruction as a regularized minimization task. Our experimental result shows improvements in both signal-to-noise ratio and visual quality. © 2008 Springer-Verlag Berlin Heidelberg. |
Persistent Identifier | http://hdl.handle.net/10722/92177 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, X | en_HK |
dc.contributor.author | Lam, EY | en_HK |
dc.contributor.author | Wu, EX | en_HK |
dc.contributor.author | Wong, KKY | en_HK |
dc.date.accessioned | 2010-09-17T10:38:20Z | - |
dc.date.available | 2010-09-17T10:38:20Z | - |
dc.date.issued | 2008 | en_HK |
dc.identifier.citation | 2nd International Conference on Medical Imaging and Informatics, MIMI 2007, Beijing, China, 14-16 August 2007. In Lecture Notes In Computer Science, 2008, v. 4987, p. 51-56 | en_HK |
dc.identifier.issn | 0302-9743 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/92177 | - |
dc.description.abstract | This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, using a standard model of imaging process and reformulating the reconstruction as a regularized minimization task. Our experimental result shows improvements in both signal-to-noise ratio and visual quality. © 2008 Springer-Verlag Berlin Heidelberg. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | en_HK |
dc.relation.ispartof | Lecture Notes in Computer Science | en_HK |
dc.subject | MRI | en_HK |
dc.subject | Super-resolution Reconstruction | en_HK |
dc.subject | Tikhonov Regularization | en_HK |
dc.title | Application of Tikhonov regularization to super-resolution reconstruction of brain MRI images | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Lam, EY:elam@eee.hku.hk | en_HK |
dc.identifier.email | Wu, EX:ewu1@hkucc.hku.hk | en_HK |
dc.identifier.email | Wong, KKY:kywong@eee.hku.hk | en_HK |
dc.identifier.authority | Lam, EY=rp00131 | en_HK |
dc.identifier.authority | Wu, EX=rp00193 | en_HK |
dc.identifier.authority | Wong, KKY=rp00189 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/978-3-540-79490-5_8 | en_HK |
dc.identifier.scopus | eid_2-s2.0-45849108809 | en_HK |
dc.identifier.hkuros | 141497 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-45849108809&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 4987 | en_HK |
dc.identifier.spage | 51 | en_HK |
dc.identifier.epage | 56 | en_HK |
dc.identifier.eissn | 1611-3349 | - |
dc.publisher.place | Germany | en_HK |
dc.description.other | 2nd International Conference on Medical Imaging and Informatics, MIMI 2007, Beijing, China, 14-16 August 2007. In Lecture Notes In Computer Science, 2008, v. 4987, p. 51-56 | - |
dc.identifier.scopusauthorid | Zhang, X=7410265236 | en_HK |
dc.identifier.scopusauthorid | Lam, EY=7102890004 | en_HK |
dc.identifier.scopusauthorid | Wu, EX=7202128034 | en_HK |
dc.identifier.scopusauthorid | Wong, KKY=36456599700 | en_HK |
dc.identifier.issnl | 0302-9743 | - |