Accelerated 3D Coronary Vessel Wall MR Imaging Based on Compressed Sensing with A Novel Block-Weighted Total Variation Regularization
Chen Zhongzhou1, Zhang Xiaoyong1, Zheng Hairong1, Liu Xin1, Fan Zhaoyang2, and Xie Guoxi1
1Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology,CAS, Shenzhen, China, People's Republic of, 2Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
Coronary vessel wall MR imaging has
great potential to detect coronary plaques which can be important for heart
disease diagnosis. However, the imaging is always time-consuming because it
needs a large amount of data for clear vessel wall depiction. In this work, a
novel method based on compressed sensing (CS) with block-weighted total variation
(BWTV) was proposed to accelerate coronary vessel wall imaging. Simulation and
in vivo experiment results demonstrated that the proposed method can significantly
decrease the amount of data for image reconstruction without compromising the depiction
of the tiny coronary vessel wall.
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