Monday AM 1 Opening Session 2011 Mansfield Lecture ... - ISMRM

Poster Sessions
300
2827. Simultaneous T 1 & T 2 Quantification using Non-Continuous Balanced SSFP Look-Locker Imaging
Glenn S. Slavin 1
1 Global Applied Science Laboratory, GE Healthcare, Bethesda, MD, United States
2828. Ultra-Short Echo Time Balanced SSFP for Highly Sensitive Detection & Quantification of Multi-Resonant 19 F
Imaging Agents for Targeted Molecular MRI
Jochen Keupp 1 , Samuel A. Wickline 2 , Gregory M. Lanza 2 , Shelton D. Caruthers 2
1 Philips Research Europe, Hamburg, Germany; 2 C-TRAIN, Washington University School of Medicine, St. Louis, United States
2829. SPIO Quantification using Inversion Recovery Prepared BSSFP for Targeted Molecular Imaging
Chris V. Bowen 1,2 , Nicole A. Pelot 1,3
1 Institute for Biodiagnostics (Atlantic), National Research Council, Halifax, NS, Canada; 2 Physics & Atmospheric Science, Dalhousie
University, Halifax, NS, Canada; 3 Physics & Atmospheric Science & Electrical Engineering, Dalhousie University, Halifax, NS,
Canada
Undersampling & Compressed Sensing
Exhibition Hall Thursday 13:30-15:30
2830. Multiscale Dictionary Learning for MRI
Saiprasad Ravishankar 1 , Yoram Bresler 1
1
Department of Electrical & Computer Engineering & the Coordinated Science Laboratory, University of Illinois, Urbana, IL, United
States
2831. Adaptive Compressed MRI Sampling Based on Wavelet Encoding
Bo Kou 1 , Guoxi xie 2 , Bensheng Qiu 2 , Xin Liu 2
1 Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China, People's Republic of; 2 Shenzhen
Institutes of Advanced Technology, Chinese Academy of Science, China, People's Republic of
2832. Undersampled MRI Reconstruction using Edge-Weighted ι 1 Norm Minimization
Changwei Hu 1 , Xiaobo Qu 2 , Di Guo 2 , Lijun Bao 1 , Shuhui Cai 1 , Zhong Chen 1
1 Department of Physics, Xiamen University, Xiamen, Fujian, China, People's Republic of; 2 Department of Communication
Engineering, Xiamen University, Xiamen, Fujian, China, People's Republic of
2833. A Swifter SWIFT using Compressive Sensing
Sairam Geethanath 1 , Steen Moeller 2 , Curtis A. Corum 2 , Matthew A. Lewis 1,3 , Vikram D. Kodibagkar 1,3
1 Joint graduate program in Biomedical Engineering, UT Arlington & UT Southwestern Medical Center, Dallas, TX, United States;
2 Center for Magnetic Resonance Research, University of Minnesota; 3 Radiology, UT Southwestern Medical Center
2834. Investigation on Compressed Sensing Regularization Parameter using Case-PDM
Jun Miao 1 , Feng Huang 2 , David L. Wilson, 3
1 Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 2 Invivo Corporation, Gainesville, FL,
United States; 3 Radiology, University Hospitals of Cleveland, Cleveland, OH, United States
2835. MR Compressed Sensing using FREBAS Transform
Satoshi Ito 1 , Koji Miyabayashi, Yoshifumi Yamada
1 Research Division of Intelligence & Information Sciencs, Utsunomiya University, Utsunomiya, Tochigi, Japan
2836. The Multiple Transforms Compressed Sensing for MR Angiography
Joonsung Choi 1 , Yeji Han 1 , Jinyoung Hwang 1 , Jun-Young Chung 2 , Zang-Hee Cho 2 , HyunWook Park 1
1 2
Department of Electrical Engineering, KAIST, Daejeon, Korea, Republic of; Neuroscience Research Institute, Gachon University of
Medicine and Science
2837. Acceleration of High Angular Resolution Diffusion Weighted Images using Compressed Sensing
Merry P. Mani 1 , Tong Zhu 2 , Jianhui Zhong 2 , Mathews Jacob 3
1
Rochester Center for Brain Imaging, Electrical & Computer Engineering, University of Rochester, Rochester, NY, United States;
2 3
Imaging Sciences, University of Rochester, Rochester, NY, United States; Biomedical Engineering, University of Rochester,
Rochester, NY, United States
2838. Gaussian Scale Mixture-Based Joint Reconstruction of Multicomponent MR Images from Undersampled K-
Space Measurements
Xiaobo Qu 1 , Changwei Hu 2 , Di Guo 1 , Lijun Bao 2 , Zhong Chen 2
1 Department of Communication Engineering, Xiamen University, Xiamen, Fujian, China, People's Republic of; 2 Department of
Physics, Xiamen University, Xiamen, Fujian, China, People's Republic of