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A head motion estimation algorithm for motion artifact correction in dental CT imaging.

Daniel Hernandez1, Mohamed Elsayed Eldib1, Mohamed A A Hegazy1

  • 1Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea.

Physics in Medicine and Biology
|February 23, 2018
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Summary
This summary is machine-generated.

This study presents a novel method to estimate patient head motion during dental CT scans using projection images. The technique accurately captures motion waveforms, enabling effective artifact correction for improved image quality.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Radiology

Background:

  • Head motion during dental CT scans compromises image quality due to slow cone-beam acquisition.
  • External motion monitoring devices are often required but can be cumbersome.

Purpose of the Study:

  • To develop a retrospective method for estimating head motion waveforms from projection images in dental CT.
  • To improve image quality by correcting motion artifacts without external monitoring devices.

Main Methods:

  • Computed cross-correlation between successive projection images to identify motion-induced deviations from a sinusoid-like displacement curve.
  • Developed a motion waveform estimation technique using a single parameter derived from the displacement curve and image entropy minimization.
  • Verified the method using a lab-built micro-CT simulating dental CT head motions (tilting, nodding).

Main Results:

  • The estimated motion waveforms closely matched the actual motion waveforms in controlled experiments.
  • Motion artifact correction using the estimated waveforms significantly improved image quality.
  • Structural Similarity Index (SSIM) values exceeded 0.81 in phantom and rat imaging studies after correction.

Conclusions:

  • The developed retrospective method effectively estimates head motion during dental CT scans.
  • This technique allows for accurate motion artifact correction, leading to near-identical images compared to reference scans.
  • The findings offer a promising solution for enhancing dental CT image quality without external motion tracking.