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Alternating dual updates algorithm for X-ray CT reconstruction on the GPU.

Madison G McGaffin1, Jeffrey A Fessler1

  • 1EECS Department, University of Michigan, Ann Arbor, MI, 48109-2122.

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|February 16, 2016
PubMed
Summary
This summary is machine-generated.

A new algorithm speeds up model-based image reconstruction (MBIR) for X-ray computed tomography (CT) by using duality and group coordinate ascent. This faster MBIR method could improve image quality and enable low-dose scans in clinical settings.

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Area of Science:

  • Medical Imaging
  • Computational Science

Background:

  • Model-based image reconstruction (MBIR) enhances X-ray computed tomography (CT) image quality and allows for lower radiation doses.
  • Current MBIR methods are computationally intensive, limiting their widespread clinical use due to long reconstruction times.

Purpose of the Study:

  • To develop a novel optimization algorithm for accelerating MBIR in X-ray CT.
  • To address the computational bottlenecks hindering clinical adoption of MBIR.

Main Methods:

  • A new algorithm based on duality and group coordinate ascent was developed for X-ray CT MBIR.
  • The algorithm handles various regularizers, including total variation (TV), and supports approximate updates for faster convergence.
  • It features highly parallelizable updates suitable for GPU acceleration, managing large variable sets with small, streamable working sizes.

Main Results:

  • The proposed algorithm demonstrates rapid convergence on both real and simulated datasets.
  • Significant parallelization was achieved across multiple GPU devices.
  • The method proved effective with diverse regularizers like total variation.

Conclusions:

  • The new duality and group coordinate ascent algorithm significantly accelerates MBIR for X-ray CT.
  • This advancement has the potential to facilitate broader clinical implementation of high-quality, low-dose CT imaging.
  • The algorithm's parallel nature and efficiency make it suitable for modern high-performance computing environments.