Space-time variant weighted regularization improves motion reconstruction in compressed sensing accelerated cardiac cine MRI
| Autor: | Royuela del Val, Javier, Godino Moya, Alejandro, Menchón Lara, Rosa María, Martín Fernández, Marcos Antonio, Alberola López, Carlos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Popis: | 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. Ministerio de Economía, Industria y Competitividad (Project TEC2014-57428-R) Junta de Castilla y León (programa de apoyo a proyectos de investigación – Ref. VA082U16) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|