https://scholars.lib.ntu.edu.tw/handle/123456789/425873
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, Y.-R. | en_US |
dc.contributor.author | Chan, R.H. | en_US |
dc.contributor.author | LI-JIUAN SHEN | en_US |
dc.contributor.author | YEN-CHUN HSU | en_US |
dc.contributor.author | WEN-YIH TSENG | en_US |
dc.creator | Li, Y.-R.;Chan, R.H.;Li-Jiuan Shen;Yen-Chun Hsu;Wen-Yih Isaac Tseng | - |
dc.date.accessioned | 2019-10-03T03:59:00Z | - |
dc.date.available | 2019-10-03T03:59:00Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1936-4954 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/425873 | - |
dc.description.abstract | © 2016 Society for Industrial and Applied Mathematics. Parallel magnetic resonance imaging (pMRI) is a technique to accelerate the magnetic resonance imaging process. The problem of reconstructing an image from the collected pMRI data is ill-posed. Regularization is needed to make the problem well-posed. In this paper, we first construct a twodimensional tight framelet system whose filters have the same support as the orthogonal Haar filters and are able to detect edges of an image in the horizontal, vertical, and ±45° directions. This system is referred to as directional Haar framelet (DHF). We then propose a pMRI reconstruction model whose regularization term is formed by the DHF. This model is solved by a fast proximal algorithm with low computational complexity. The regularization parameters are updated adaptively and determined automatically during the iteration of the algorithm. Numerical experiments for in-silico and in-vivo data sets are provided to demonstrate the superiority of the DHF-based model and the efficiency of our proposed algorithm for pMRI reconstruction. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | SIAM Journal on Imaging Sciences | en_US |
dc.subject | Haar wavelet system | Parallel MRI | Proximity operator | Tight frame | Total variation | en_US |
dc.title | An adaptive directional haar framelet-based reconstruction algorithm for parallel magnetic resonance imaging | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1137/15M1033964 | - |
dc.identifier.doi | http://www.scopus.com/inward/record.url?eid=2-s2.0-84976632944&partnerID=MN8TOARS | - |
dc.identifier.doi | 27628198 | - |
dc.identifier.scopus | 2-s2.0-84976632944 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?eid=2-s2.0-84976632944&partnerID=MN8TOARS | - |
dc.relation.journalvolume | 9 | en_US |
dc.relation.journalissue | 2 | en_US |
dc.identifier.external | 27628198 | - |
dc.relation.pageend | 821 | en_US |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
crisitem.author.dept | Clinical Pharmacy | - |
crisitem.author.dept | Office of International Affairs | - |
crisitem.author.dept | Anesthesiology-NTUCC | - |
crisitem.author.dept | Medical Device and Imaging | - |
crisitem.author.dept | Biomedical Engineering | - |
crisitem.author.dept | Brain and Mind Sciences | - |
crisitem.author.dept | Medical Imaging-NTUH | - |
crisitem.author.orcid | 0000-0002-2854-3205 | - |
crisitem.author.orcid | 0000-0002-6333-6463 | - |
crisitem.author.orcid | 0000-0002-2314-6868 | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | Administrative Unit | - |
crisitem.author.parentorg | National Taiwan University Cancer Center (NTUCC) | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Engineering | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
Appears in Collections: | 醫療器材與醫學影像研究所 |
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