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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Gibbs artifact reduction by nonnegativity constraint.

Gengsheng L Zeng1

  • 1Utah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah 84108, USA. larry@ucair.med.utah.edu

Journal of Nuclear Medicine Technology
|July 29, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel 2-step imaging reconstruction method to reduce Gibbs ringing artifacts. By separating point spread function (PSF) compensation, the technique effectively suppresses artifacts in medical imaging.

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Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Signal Processing

Background:

  • Gibbs ringing artifacts are a common challenge in image reconstruction, particularly when compensating for the system's point spread function (PSF).
  • Existing methods often struggle to effectively control these artifacts, impacting image quality.

Purpose of the Study:

  • To propose and evaluate a novel 2-step image reconstruction method for reducing Gibbs ringing artifacts.
  • To demonstrate the effectiveness of separating image reconstruction from PSF compensation.

Main Methods:

  • A 2-step image reconstruction approach was developed.
  • The first step involves reconstructing a raw image without PSF correction using iterative algorithms like maximum-likelihood expectation maximization (MLEM).
  • The second step employs an image-domain MLEM algorithm as a postprocessing filter for PSF correction, incorporating a background removal strategy for enhanced artifact suppression.

Main Results:

  • Computer simulations and PET phantom studies validated the proposed 2-step method.
  • The background removal strategy significantly reduced Gibbs artifacts.
  • The separation of image reconstruction and PSF compensation proved effective in mitigating ringing artifacts.

Conclusions:

  • The proposed 2-step method effectively reduces Gibbs ringing artifacts in image reconstruction.
  • Separating image reconstruction from point spread function compensation is a viable strategy for artifact removal.
  • The background removal technique further enhances Gibbs artifact suppression.