The susceptibility-based positive contrast MR technique was applied to estimate arbitrary magnetic susceptibility distributions of the metallic devices using a kernel deconvolution algorithm with a regularized L-1 minimization.Previously, the first-order primal-dual (PD) algorithm could provide a faster reconstruction time to solve the L-1 minimization, compared with other methods. Here, we propose to accelerate the PD algorithm of the positive contrast image using the multi-core multi-thread feature of graphics processor units (GPUs). The some experimental results showed that the GPU-based PD algorithm could achieve comparable accuracy of the metallic interventional devices in positive contrast imaging with less computational time. And the GPU-based PD approach was 4~15 times faster than the previous CPU-based scheme.
@article{arxiv.2006.09808,
title = {Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm},
author = {Haifeng Wang and Fang Cai and Caiyun Shi and Jing Cheng and Shi Su and Zhilang Qiu and Guoxi Xie and Hanwei Chen and Xin Liu and Dong Liang},
journal= {arXiv preprint arXiv:2006.09808},
year = {2020}
}
Comments
4 pages, 6 figures, Accepted at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020)