Compressed multi-contrast magnetic resonance image reconstruction using Augmented Lagrangian Method
| dc.citation.epage | 1988 | en_US |
| dc.citation.spage | 1985 | en_US |
| dc.contributor.author | Güngör, A. | en_US |
| dc.contributor.author | Kopanoğlu, E. | en_US |
| dc.contributor.author | Çukur, Tolga | en_US |
| dc.contributor.author | Güven, H. E. | en_US |
| dc.coverage.spatial | Zonguldak, Turkey | en_US |
| dc.date.accessioned | 2018-04-12T11:48:18Z | |
| dc.date.available | 2018-04-12T11:48:18Z | |
| dc.date.issued | 2016 | en_US |
| dc.department | Department of Electrical and Electronics Engineering | en_US |
| dc.description | Date of Conference: 16-19 May 2016 | en_US |
| dc.description | Conference Name: IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016 | en_US |
| dc.description.abstract | In this paper, a Multi-Channel/Multi-Contrast image reconstruction algorithm is proposed. The method, which is based on the Augmented Lagrangian Method uses joint convex objective functions to utilize the mutual information in the data from multiple channels to improve reconstruction quality. For this purpose, color total variation and group sparsity are used. To evaluate the performance of the method, the algorithm is compared in terms of convergence speed and image quality using Magnetic Resonance Imaging data to FCSA-MT, an alternative approach on reconstructing multi-contrast MRI data. | en_US |
| dc.description.provenance | Made available in DSpace on 2018-04-12T11:48:18Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016 | en |
| dc.identifier.doi | 10.1109/SIU.2016.7496157 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11693/37696 | |
| dc.language.iso | Turkish | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1109/SIU.2016.7496157 | en_US |
| dc.source.title | Proceedings of the IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016 | en_US |
| dc.subject | Alternating direction method of multipliers | en_US |
| dc.subject | Compressed sensing | en_US |
| dc.subject | Image reconstruction | en_US |
| dc.subject | Sparsity | en_US |
| dc.title | Compressed multi-contrast magnetic resonance image reconstruction using Augmented Lagrangian Method | en_US |
| dc.title.alternative | Sıkıştırılmış çoklu-kontrast manyetik rezonans görüntülerinin Genişletilmiş Lagrange Metodu ile gerikazanımı | en_US |
| dc.type | Conference Paper | en_US |