Abstract #2487
Customized CPU Accelerated CS-based MRI Reconstruction Platform
Kyunghyun Sung 1,2 , Di Wu 3 , Fei Han 1,2 , Ziwu Zhou 1,2 , Peng Hu 1,2 , Holden Wu 1,2 , Alex Bui 1,2 , and Jason Cong 3
1
Radiological Sciences, University of
California, Los Angeles, Los Angeles, CA, United States,
2
Bioengineering,
University of California, Los Angeles, Los Angeles, CA,
United States,
3
Computer
Science, University of California, Los Angeles, Los
Angeles, CA, United States
Compressed sensing (CS) is an emerging technique that
can reduce the imaging time at the cost of increased
reconstruction runtime (i.e. time to reconstruct MRI
images from raw k-space data). New algorithmic and
acceleration approaches are needed to translate CS-based
MRI methods into clinical practice. We propose to
develop a new low cost CS-based MRI reconstruction
platform using customized CPU accelerated
implementation.
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