Joint dictionary learning reconstruction of compressed multi-contrast magnetic resonance imaging

Simple item page
dc.contributor.authorGüngör, A.en_US
dc.contributor.authorKopanoğlu, E.en_US
dc.contributor.authorÇukur, Tolgaen_US
dc.contributor.authorGüven, E.en_US
dc.contributor.authorYarman-Vural, F. T.en_US
dc.coverage.spatialIstanbul, Turkeyen_US
dc.date.accessioned2019-02-21T16:04:09Zen_US
dc.date.available2019-02-21T16:04:09Zen_US
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 24 Nov.-26 Dec. 2017en_US
dc.description.abstractThis study deals with reconstruction of compressed multicontrast magnetic resonance image (MRI) reconstruction using joint dictionary learning. Usually pre-determined dictionaries are used for compressed sensing reconstructions. Here, we propose an alternating-minimization based algorithm for recovering image and sparsifying transformation from only data itself. The proposed method can also be viewed as a joint multicontrast reconstruction extension of a previous blind compressive sensing algorithm [1]. For evaluation, the algorithm is compared in terms of convergence speed and image quality to both individual dictionary learning based method [1], and a joint reconstruction algorithm using pre-determined dictionaries for MRI [2].en_US
dc.description.provenanceMade available in DSpace on 2019-02-21T16:04:09Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.identifier.doi10.1109/BIYOMUT.2017.8478900en_US
dc.identifier.isbn9781538653401en_US
dc.identifier.urihttp://hdl.handle.net/11693/50164en_US
dc.language.isoTurkishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttps://doi.org/10.1109/BIYOMUT.2017.8478900en_US
dc.source.title2017 21st National Biomedical Engineering Meeting (BIYOMUT)en_US
dc.titleJoint dictionary learning reconstruction of compressed multi-contrast magnetic resonance imagingen_US
dc.title.alternativeOrtak sözlük öğrenimi ile sıkıştırılmış çoklu-kontrast manyetik rezonans görüntülerinin geri-kazanımıen_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Joint_dictionary_learning_reconstruction_of_compressed_multi-contrast_magnetic_resonance_imaging.pdf
Size:
1.77 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Department of Electrical and Electronics Engineering