Fast iterative reconstruction method for PROPELLER MRI

Hongyu Guo; Jianping Dai; Jinquan Shi

doi:10.1117/12.831244

30 October 2009 Fast iterative reconstruction method for PROPELLER MRI

Hongyu Guo, Jianping Dai, Jinquan Shi

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74972O (2009) https://doi.org/10.1117/12.831244
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Hongyu Guo, Jianping Dai, and Jinquan Shi "Fast iterative reconstruction method for PROPELLER MRI", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972O (30 October 2009); https://doi.org/10.1117/12.831244

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