TH-SS1a: Compressive Sensing for Biomedical Imaging I

Session Type: Oral
Time: Thursday, March 31, 16:00 - 17:30
Location: CC21
Session Chairs: Jong Chul Ye, Korean Adv. Inst. Of Science and Technology (KAIST) and Miki Lustig, Stanford
 
TH-SS1a.1: PRACTICAL PARALLEL IMAGING COMPRESSED SENSING MRI: SUMMARY OF TWO YEARS OF EXPERIENCE IN ACCELERATING BODY MRI OF PEDIATRIC PATIENTS
         SS Vasanawala; Stanford University
         M. J. Murphy; University of California, Berkeley
         M. T. Alley; Stanford University
         P. Lai; GE Healthcare
         K. Keutzer; University of California, Berkeley
         J. M. Pauly; Stanford University
         M. Lustig; University of California, Berkeley
 
TH-SS1a.2: SMOOTH SAMPLING TRAJECTORIES FOR SPARSE RECOVERY IN MRI
         Rebecca Willett; Duke University
 
TH-SS1a.3: L0-COMPRESSED SENSING FOR PARALLEL DYNAMIC MRI USING SPARSE BAYESIAN LEARNING
         Hong Jung; KAIST
         HuiSu Yoon; KAIST
         Jong Chul Ye; KAIST
 
TH-SS1a.4: LOW-RANK APPROXIMATIONS FOR DYNAMIC IMAGING
         Justin Haldar; University of Illinois, Urbana-Champaign
         Zhi-Pei Liang; University of Illinois, Urbana-Champaign
 
TH-SS1a.5: FREQUENCY EXTRAPOLATION BY NONCONVEX COMPRESSIVE SENSING
         Rick Chartrand; Los Alamos National Laboratory
         Emil Y. Sidky; University of Chicago
         Xiaochuan Pan; University of Chicago