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Image Registration of 18F-FDG PET/CT Using the MotionFree Algorithm and CT Protocols through Phantom Study and

Deok-Hwan Kim1, Eun-Hye Yoo1, Ui-Seong Hong1

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Summary

The MotionFree algorithm corrects respiratory motion artifacts in PET/CT scans. Shorter CT scan times and natural breathing protocols significantly reduce misregistration, improving lesion quantification.

Keywords:
MotionFree algorithmPET/CT misregistrationphantom testrespiratory motion artifact

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Area of Science:

  • Medical Imaging
  • Radiology
  • Nuclear Medicine

Background:

  • Respiratory motion causes significant artifacts in Positron Emission Tomography/Computed Tomography (PET/CT) imaging.
  • These artifacts, known as misregistration, can lead to inaccurate lesion detection and quantification.
  • MotionFree is an algorithm designed to address these motion-related challenges.

Purpose of the Study:

  • To evaluate the efficacy of the MotionFree algorithm in correcting respiratory motion artifacts.
  • To assess the impact of different breathing protocols and CT scanning times on PET/CT misregistration.
  • To determine if MotionFree improves the accuracy of lesion quantification in the presence of motion.

Main Methods:

  • Phantom studies were conducted using various phantom and vacuum vial sizes with simulated respiratory motion, with and without MotionFree.
  • A patient study involved 600 participants divided into six groups based on breathing protocols (no instructions, breath-hold, natural breathing) and CT scanning duration.
  • PET/CT misregistration was measured, defined as exceeding 10 mm, and analyzed in relation to MotionFree application, breathing protocols, and scan times.

Main Results:

  • Phantom studies demonstrated excellent agreement between MotionFree-processed images and static images.
  • Significant differences in PET/CT misregistration were observed based on CT scanning time and breathing protocols.
  • Implementing a natural breathing protocol (type c) with decreased CT scanning time significantly reduced the frequency and length of misregistrations (p < 0.05).

Conclusions:

  • The MotionFree algorithm effectively corrects respiratory motion artifacts in PET/CT imaging.
  • Reducing CT scanning time and employing natural breathing protocols are crucial for minimizing misregistration.
  • MotionFree enables accurate lesion quantification by mitigating motion-induced artifacts, enhancing diagnostic precision.