Paper Info
Title
Positive Contrast Susceptibility Mr Imaging Using Gpu-Based Primal-Dual Algorithm
Abstract
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 similar to 15 times faster than the previous CPU-based scheme.
Year
DOI
Venue
2020
10.1109/EMBC44109.2020.9176223
42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20
DocType
Volume
ISSN
Conference
2020
1557-170X
Citations 
PageRank 
References 
0
0.34
0
Authors
10
Name
Order
Citations
PageRank
Haifeng Wang1215.87
Fang Cai200.34
Caiyun Shi300.34
Jing Cheng45014.53
Shi Su502.70
Zhilang Qiu611.72
Guoxi Xie702.70
Hanwei Chen821.04
Xin Liu942.42
Dong Liang10555.66