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Related Experiment Video

Updated: May 29, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

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

Yao-Hao Yang1, Teng-Yi Huang, Fu-Nien Wang

  • 1Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC.

Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|September 15, 2011
PubMed
Summary
This summary is machine-generated.

Graphics processing unit (GPU) computing significantly accelerates echo planar imaging (EPI) geometric distortion correction using phase demodulation. This method drastically reduces computation time for PROPELLER-EPI diffusion tensor imaging, enhancing clinical applicability.

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Last Updated: May 29, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Area of Science:

  • Medical Imaging
  • Computational Science
  • Image Processing

Background:

  • Echo planar imaging (EPI) geometric distortion correction is crucial but computationally intensive.
  • Phase demodulation, while effective, presents significant computational challenges due to accumulating phase dispersion.

Purpose of the Study:

  • To develop and evaluate a graphics processing unit (GPU)-based parallel computing method to accelerate phase demodulation for EPI geometric distortion correction.

Main Methods:

  • Implemented a parallel algorithm utilizing general-purpose GPU computing for phase demodulation calculations.
  • Applied the proposed GPU-based method to a PROPELLER-EPI diffusion tensor dataset.

Main Results:

  • The GPU-based phase demodulation successfully corrected EPI geometric distortion.
  • Computation time for reconstructing 16-slice PROPELLER-EPI diffusion tensor images (128x128 matrix) was reduced from 1,754 seconds to 101 seconds using a 4-GPU system.

Conclusions:

  • GPU computing offers a powerful approach to accelerate EPI geometric correction.
  • Reduced computation time for phase demodulation can expedite postprocessing for EPI studies and facilitate clinical adoption of PROPELLER-EPI.