FR-OS5: Sparse MRI Reconstruction

Session Type: Oral
Time: Friday, April 1, 14:00 - 15:30
Location: CC21
Session Chairs: Jeffrey Fessler, University of Michigan and Emil Sidky, Univeristy of Chicago
 
FR-OS5.1: HIGHLY UNDERSAMPLED MRI USING ADAPTIVE SPARSE REPRESENTATIONS
         Saiprasad Ravishankar; University of Illinois, Urbana-Champaign
         Yoram Bresler; University of Illinois, Urbana-Champaign
 
FR-OS5.2: EVALUATING SPARSITY PENALTY FUNCTIONS FOR COMBINED COMPRESSED SENSING AND PARALLEL MRI
         Daniel Weller; Massachusetts Institute of Technology
         Jonathan Polimeni; Massachusetts General Hospital
         Leo Grady; Siemens Corporate Research
         Lawrence Wald; Massachusetts General Hospital
         Elfar Adalsteinsson; Massachusetts Institute of Technology
         Vivek Goyal; Massachusetts Institute of Technology
 
FR-OS5.3: FURTHER DEVELOPMENT OF IMAGE RECONSTRUCTION FROM HIGHLY UNDERSAMPLED (K, T)-SPACE DATA WITH JOINT PARTIAL SEPARABILITY AND SPARSITY CONSTRAINTS
         Bo Zhao; University of Illinois, Urbana-Champaign
         Justin Haldar; University of Illinois, Urbana-Champaign
         Anthony G. Christodoulou; University of Illinois, Urbana-Champaign
         Zhi-Pei Liang; University of Illinois, Urbana-Champaign
 
FR-OS5.4: COMPRESSED SENSING OF DIFFUSION MRI DATA USING SPATIAL REGULARIZATION AND POSITIVITY CONSTRAINTS
         Sudipto Dolui; University of Waterloo
         Oleg Michailovich; University of Waterloo
         Yogesh Rathi; Harvard Medical School
 
FR-OS5.5: TRANSLATIONAL-INVARIANT DICTIONARIES FOR COMPRESSED SENSING IN MAGNETIC RESONANCE IMAGING
         Christopher Baker; University of Wisconsin - Milwaukee
         Kevin King; GE Healthcare
         Dong Liang; University of Wisconsin - Milwaukee
         Leslie Ying; University of Wisconsin - Milwaukee