J Neuroimaging 2013;23:202-206.
Clinical Investigative Study
Accelerating EPI Distortion Correction by Utilizing a Modern GPU-Based Parallel Computation
Article first published online: 13 SEP 2011
Copyright © 2011 by the American Society of Neuroimaging
Journal of Neuroimaging
Volume 23, Issue 2, pages 202–206, April 2013
How to Cite
Yang, Y.-H., Huang, T.-Y., Wang, F.-N., Chuang, T.-C. and Chen, N.-K. (2013), Accelerating EPI Distortion Correction by Utilizing a Modern GPU-Based Parallel Computation. Journal of Neuroimaging, 23: 202–206. doi: 10.1111/j.1552-6569.2011.00654.x
- Issue published online: 11 APR 2013
- Article first published online: 13 SEP 2011
- Acceptance: Received April 20,2011, and in revised form June 21,2011. Accepted for publication July 05, 2011.
- EPI distortion;
- parallel computing
BACKGROUND AND PURPOSE
The combination of phase demodulation and field mapping is a practical method to correct echo planar imaging (EPI) geometric distortion. However, since phase dispersion accumulates in each phase-encoding step, the calculation complexity of phase modulation is Ny-fold higher than conventional image reconstructions. Thus, correcting EPI images via phase demodulation is generally a time-consuming task.
Parallel computing by employing general-purpose calculations on graphics processing units (GPU) can accelerate scientific computing if the algorithm is parallelized. This study proposes a method that incorporates the GPU-based technique into phase demodulation calculations to reduce computation time. The proposed parallel algorithm was applied to a PROPELLER-EPI diffusion tensor data set.
The GPU-based phase demodulation method reduced the EPI distortion correctly, and accelerated the computation. The total reconstruction time of the 16-slice PROPELLER-EPI diffusion tensor images with matrix size of 128 × 128 was reduced from 1,754 seconds to 101 seconds by utilizing the parallelized 4-GPU program.
GPU computing is a promising method to accelerate EPI geometric correction. The resulting reduction in computation time of phase demodulation should accelerate postprocessing for studies performed with EPI, and should effectuate the PROPELLER-EPI technique for clinical practice.