2026-04-22T22:19:22Zhttps://uvadoc.uva.es/oai/request
oai:uvadoc.uva.es:10324/313792025-02-19T13:05:56Zcom_10324_1191com_10324_931com_10324_894col_10324_1381
UVaDOC author Royuela del Val, Javier author Godino Moya, Alejandro author Menchon Lara, Rosa María author Martín Fernández, Marcos Antonio author Alberola López, Carlos 2018-09-03T18:22:18Z 2018-09-03T18:22:18Z 2017 http://uvadoc.uva.es/handle/10324/31379 In compressed sensing (CS) dynamic MRI, temporal sparsity is commonly exploited introducing a temporal regularization that affects the dynamic behavior of the images in moving regions. While previous works proposed to combine different sparsity terms accounting for dynamic and static regions in the image, in this work we propose a methodology to dynamically adapt the temporal regularization according to the presence of motion. The proposed method is based on a robust registration technique for non-rigid motion estimation. A variable Density k-space sampling it is applied to highly accelerated breath-hold cine data. eng Attribution 4.0 International Space-time variant weighted regularization improves motion reconstruction in compressed sensing accelerated cardiac cine MRI info:eu-repo/semantics/conferenceObject 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URL https://uvadoc.uva.es/bitstream/10324/31379/1/792_ESMRMB2017.pdf File MD5 d1e960d48cd543f1c9f8ddc763a5c71c 169390 application/pdf 792_ESMRMB2017.pdf