Ganesh Adluru1, Wei Lin1, Mark Rosen1, Hee Kwon Song1
1Radiology, University of Pennsylvania, Philadelphia, PA, USA
Compressed sensing/constrained reconstruction methods have recently been proposed and applied to accelerate MR acquisitions. Here we apply the spatio-temporal constrained reconstruction method in conjunction with the recently proposed respiratory self-gated DCE-MRI strategy to improve the reconstructions of radially undersampled DCE tumor data. Respiratory gating effectively reduces the temporal signal variations due to breathing and leads to enhanced sparsity in the temporal gradient. Improved image quality is clearly demonstrated in undersampled lung and liver tumor DCE-MRI datasets. The approach offers a promising framework to accelerate DCE-MRI of lesions located in regions severely affected by respiratory motion.