Accelerating EPI distortion correction by utilizing a modern GPU-based parallel computation.

Published

Journal Article

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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Full Text

Duke Authors

Cited Authors

  • Yang, Y-H; Huang, T-Y; Wang, F-N; Chuang, T-C; Chen, N-K

Published Date

  • April 2013

Published In

Volume / Issue

  • 23 / 2

Start / End Page

  • 202 - 206

PubMed ID

  • 21914033

Pubmed Central ID

  • 21914033

Electronic International Standard Serial Number (EISSN)

  • 1552-6569

Digital Object Identifier (DOI)

  • 10.1111/j.1552-6569.2011.00654.x

Language

  • eng

Conference Location

  • United States