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Proceedings Paper

Fast iterative reconstruction method for PROPELLER MRI
Author(s): Hongyu Guo; Jianping Dai; Jinquan Shi
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Paper Abstract

Patient motion during scanning will introduce artifacts in the reconstructed image in MRI imaging. Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) MRI is an effective technique to correct for motion artifacts. The iterative method that combine the preconditioned conjugate gradient (PCG) algorithm with nonuniform fast Fourier transformation (NUFFT) operations is applied to PROPELLER MRI in the paper. But the drawback of the method is long reconstruction time. In order to make it viable in clinical situation, parallel optimization of the iterative method on modern GPU using CUDA is proposed. The simulated data and in vivo data from PROPELLER MRI are respectively reconstructed in order to test the method. The experimental results show that image quality is improved compared with gridding method using the GPU based iterative method with compatible reconstruction time.

Paper Details

Date Published: 30 October 2009
PDF: 9 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972O (30 October 2009); doi: 10.1117/12.831244
Show Author Affiliations
Hongyu Guo, Northeastern Univ. (China)
Jianping Dai, Capital Univ. of Medical Sciences (China)
Jinquan Shi, Philips and Neusoft Medical Systems Co., Ltd. (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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