Sajan Goud Lingala1, Edward V.R. DiBella2, Mathews Jacob1
1The University of Iowa, Iowa city, IA, United States; 2University of Utah, Salt lake city, UT, United States
We propose a novel motion compensated compressed sensing reconstruction scheme for myocardial perfusion MRI. We develop an efficient energy minimization framework that jointly estimates the motion and the dynamic images from undersampled data. Our preliminary results show that proposed scheme is able to considerably reduce motion related artifacts in temporally constrained compressed sensing reconstruction.