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Compressed sensing MRI using discrete nonseparable shearlet transform and FISTAPejoski, Slavche ; Kafedziski, Venceslav ; Gleich, DušanWe propose a new compressed sensing MRI approach that uses the discrete nonseparable shearlet transform (DNST) as a sparsifying transform and the fast iterative soft thresholding algorithm (FISTA) ... for reconstruction. FISTA has a simple design and has shown good convergence behavior. The DNST transform has excellent localization properties within the space domain and excellent directional selectivity. We utilize the frequency representation of the DNST canonical dual filters to obtain a memory efficient modified FISTA based algorithm with a simple and efficient way of calculating the update, tuned to the non tight frame DNST transform. The proposed approach shows improved performance and similar execution time when compared with other state of the art reconstruction approaches.Source: IEEE signal processing letters. - ISSN 1070-9908 (Vol. 22, no. 10, 2015, str. 1566-1570)Type of material - article, component part ; adult, seriousPublish date - 2015Language - englishCOBISS.SI-ID - 18778390
Author
Pejoski, Slavche |
Kafedziski, Venceslav |
Gleich, Dušan
Topics
compressed sensing |
discrete nonseparable shearlet transform |
DNST |
FISTA |
MRI
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Database name | Field | Year |
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Pejoski, Slavche | |
Kafedziski, Venceslav | |
Gleich, Dušan | 20862 |
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