RT Conference Proceedings
T1 High-Resolution Dynamic Cardiac MRI on Small Animals Using Reconstruction Based on Split Bregman Methodology
A1 Montesinos, Philippe
A1 Abascal, Juan
A1 Chamorro Servent, Judit
A1 Chavarrías, Cristina
A1 Benito, M.
A1 Vaquero López, Juan José
A1 Desco Menéndez, Manuel
AB Dynamic cardiac magnetic resonance imaging in small animals is an important tool in the study of cardiovascular diseases. The reduction of the long acquisition times required for cardiovascular applications is crucial to achieve good spatiotemporal resolution and signal-to-noise ratio. Nowadays there are many acceleration techniques which can reduce acquisition time, including compressed sensing technique. Compressed sensing allows image reconstruction from undersampled data, by means of a non linear reconstruction which minimizes the total variation of the image. The recently appeared Split Bregman methodology has proved to be more computationally efficient to solve this problem than classic optimization methods. In the case of dynamic magnetic resonance imaging, compressed sensing can exploit time sparsity by the minimization of total variation across both space and time. In this work, we propose and validate the Split Bregman method to minimize spatial and time total variation, and apply this method to accelerate cardiac cine acquisitions in rats. We found that applying a quasi-random variable density pattern along the phase-encoding direction, accelerations up to a factor 5 are possible with low error. In the future, we expect to obtain higher accelerations using spatiotemporal undersampling.
PB Ieee - The Institute Of Electrical And Electronics Engineers, Inc
SN 978-1-4673-0118-3
SN 1082-3654
YR 2011
FD 2011
LK https://hdl.handle.net/10016/20132
UL https://hdl.handle.net/10016/20132
LA eng
NO Proceedings of: 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). Valencia, Spain, 23-29 October 2011
NO This work is supported in part by Ministerio de Ciencia e Innovacion (Red RECA VA), Comunidad de Madrid and Fondos FEDER (ARTEMIS project S2009DPI 1802).
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RD 17 jul. 2024