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High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
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Noise-robust Mojette reconstruction using sparse-view CT projections.

Min Jiang1, Zhiping Qu1, Yi Sun1

  • 1Department of Electronic Engineering, Dalian University of Technology, Dalian, China.

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|December 20, 2018
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Summary
This summary is machine-generated.

This study introduces a new method for sparse-view Computed Tomography (CT) using Mojette transform. It enables faster, more accurate image reconstruction by combining multiple projection sets to reduce noise and improve image quality.

Keywords:
Mojette transformRadon transformclose-to-minimal iterationscounteracting-noisedifferent sets of projection combinations

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Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Computational Imaging

Background:

  • Sparse-view Computed Tomography (CT) is crucial for industrial and medical applications.
  • Mojette transform offers exact image reconstruction, unlike approximate methods from finite sampling.
  • Current iterative pixel-by-pixel reconstruction leads to errors proportional to iteration count.

Purpose of the Study:

  • To propose novel projection combination sets for Mojette transform-based CT.
  • To achieve image recovery within minimal iterations with reduced noise.
  • To enhance the final CT image quality by mitigating noise through image combination.

Main Methods:

  • Developed a scheme to generate multiple projection sets for Mojette inversion.
  • Each set allows reconstruction with similar minimal iterations and noise levels.
  • Averaging reconstructed images from different sets to counteract noise.

Main Results:

  • Identified projection combinations that enable near-minimal iteration CT image recovery.
  • Demonstrated that different projection sets yield images with similar noise magnitude but varying distributions.
  • Noise reduction achieved by combining multiple reconstructed images.

Conclusions:

  • The proposed method offers an effective approach to improve sparse-view CT image quality.
  • This technique enhances noise handling in Mojette transform-based reconstructions.
  • Validated accuracy against other Mojette inversion and SART algorithms.