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Micro-CT artifacts reduction based on detector random shifting and fast data inpainting.

Yining Zhu1, Mengliu Zhao, Hongwei Li

  • 1The CT Laboratory, School of Mathematics, Capital Normal University, Beijing 10048, China.

Medical Physics
|March 8, 2013
PubMed
Summary

This study introduces a hybrid data preprocessing method to reduce artifacts in Micro-CT images caused by detector defects. The technique effectively suppresses artifacts while preserving spatial resolution, improving image quality.

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Materials Science

Background:

  • Micro-Computed Tomography (Micro-CT) systems often suffer from image artifacts.
  • Defects in scintillator or CCD-camera detectors cause significant artifacts in reconstructed CT images.
  • Detector unit inhomogeneity also leads to artifacts, though detector shifting can mitigate this.

Purpose of the Study:

  • To develop a novel data preprocessing method to reduce artifacts in Micro-CT images.
  • To address artifacts arising from both detector defects and inhomogeneous detector responses.
  • To improve the quality of reconstructed CT images from optical coupling detector systems.

Main Methods:

  • A hybrid method combining detector random shifting and data inpainting is proposed.

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  • The Criminisi algorithm is utilized for data inpainting to recover lost projection data.
  • A multiscale tessellation method enhances the speed of defect and similarity patch localization.

    • Main Results:

    • The proposed hybrid method effectively corrects projection data and suppresses artifacts in Micro-CT images.
    • Experimental results on simulated and real data show superior performance compared to linear interpolation, wavelet transform, and TV-inpainting.
    • CT images reconstructed from preprocessed data demonstrate significantly improved quality.

    Conclusions:

    • A hybrid data preprocessing method is presented for Micro-CT systems.
    • The method efficiently suppresses ring artifacts in reconstructed CT images.
    • The technique preserves spatial resolution, even under critical examination.