MO1.R4: MRI Reconstruction Algorithms

Session Type: Lecture
Time: Monday, June 29, 10:45 - 12:05
Location: Stanbro
 
MO1.R4.1: FAST ALGORITHMS FOR NONCONVEX COMPRESSIVE SENSING: MRI RECONSTRUCTION FROM VERY FEW DATA
         Rick Chartrand; Los Alamos National Laboratory
 
MO1.R4.2: SUPER-RESOLUTION RECONSTRUCTION OF MR IMAGE SEQUENCES WITH CONTRAST MODELING
         Justin Haldar; University of Illinois at Urbana-Champaign
         Diego Hernando; University of Illinois at Urbana-Champaign
         Zhi-Pei Liang; University of Illinois at Urbana-Champaign
 
MO1.R4.3: TOEPLITZ RANDOM ENCODING MR IMAGING USING COMPRESSED SENSING
         Dong Liang; University of Wisconsin-Milwaukee
         Guangwu Xu; University of Wisconsin-Milwaukee
         Haifeng Wang; University of Wisconsin-Milwaukee
         Kevin F. King; Global Applied Science Lab, GE Healthcare
         Dan Xu; Global Applied Science Lab, GE Healthcare
         Leslie Ying; University of Wisconsin-Milwaukee
 
MO1.R4.4: PRACTICAL NONCONVEX COMPRESSIVE SENSING RECONSTRUCTION OF HIGHLY-ACCELERATED 3D PARALLEL MR ANGIOGRAMS
         Joshua Trzasko; Mayo Clinic
         Clifton Haider; Mayo Clinic
         Armando Manduca; Mayo Clinic