Ali Bilgin1,2, Onur Guleryuz3, Theodore P. Trouard2,4, Maria I. Altbach2
1Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA; 2Dept. of Radiology, University of Arizona, Tucson, AZ, USA; 3Dept. of Electrical Engineering, Polytechnic Institute of NYU, Brooklyn, NY, USA; 4Biomedical Engineering, University of Arizona, Tucson, AZ, USA
We introduce a new sparse reconstruction framework where sparsity is enforced in a collection of bases rather than a single one. Results indicate that this new framework yields significantly improved reconstruction quality.