RT info:eu-repo/semantics/conferenceObject
T1 Space-time variant weighted regularization improves motion reconstruction in compressed sensing accelerated cardiac cine MRI
A1 Royuela del Val, Javier
A1 Godino Moya, Alejandro
A1 Menchón Lara, Rosa María
A1 Martín Fernández, Marcos Antonio
A1 Alberola López, Carlos
AB 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.
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/31379
UL http://uvadoc.uva.es/handle/10324/31379
LA eng
DS UVaDOC
RD 04-dic-2024