Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm
- Resource Type
- Conference
- Authors
- Wang, Haifeng; Cai, Fang; Shi, Caiyun; Cheng, Jing; Su, Shi; Qiu, Zhilang; Xie, Guoxi; Chen, Hanwei; Liu, Xin; Liang, Dong
- Source
- 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Engineering in Medicine & Biology Society (EMBC), 2020 42nd Annual International Conference of the IEEE. :1485-1488 Jul, 2020
- Subject
- Bioengineering
Graphics processing units
Magnetic resonance imaging
Image reconstruction
Instruction sets
Iterative methods
Three-dimensional displays
- Language
- ISSN
- 2694-0604
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.Clinical Relevance—This can estimate arbitrary magnetic susceptibility distributions of the metallic devices with the processing efficacy of 4~15 times faster than before