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
1Department of Nuclear Medicine, Veterans Health Service Medical Center, Seoul 05368, Korea.
Healthcare (Basel, Switzerland)
|July 2, 2021
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.
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.
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