Fang Cai1, Caiyun Shi1, Jing Cheng1, Guoxi Xie2, Hanwei Chen3, Xin Liu1, Hairong Zheng1, Dong Liang1, and Haifeng Wang1
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China, 3Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
Positive
contrast Magnetic Resonance Imaging (MRI) based on the susceptibility mapping
requires very fast reconstruction for clinical applications. Modern graphics
processing units (GPUs) are very efficient at manipulating computer graphics
and image processing. And Chambolle-Pock(CP) algorithm is also an efficient
algorithm to solve the minimization problem. To further reduce the
reconstruction time of positive contrast MRI, a GPU-based parallel CP algorithm
was proposed. The experimental results showed that the proposed GPU-based
parallel CP method could achieve similar image results, and provide a faster
reconstruction of up to 15 times than the conventional CPU-based CP method.
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