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Updated: Jul 5, 2026

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3D Kinematic Gait Analysis for Preclinical Studies in Rodents
Published on: August 3, 2019
Real-time 3D motion tracking for small animal brain PET
A Z Kyme1, V W Zhou, S R Meikle
1School of Physics, University of Sydney, Camperdown, Sydney, NSW, Australia.
Physics in Medicine and Biology
|April 30, 2008
Summary
Developing a motion tracking system for small animal PET imaging significantly reduces motion artifacts. This integrated stereo-optical system offers sub-millimeter accuracy for improved positron emission tomography (PET) scans.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Animal Research
Background:
- High-resolution positron emission tomography (PET) imaging in conscious, unrestrained animals faces motion artifact challenges.
- Motion correction is crucial for accurate image reconstruction in small animal PET studies.
- Existing methods may not adequately address the dynamic nature of animal movement during scans.
Purpose of the Study:
- To develop and evaluate a motion tracking system for use with small animal PET.
- To integrate a stereo-optical tracker with a microPET scanner for real-time motion data acquisition.
- To assess the system's performance and its ability to correct for motion artifacts.
Main Methods:
- Integration of a commercial stereo-optical MicronTracker S60 with a Siemens Focus-220 microPET scanner.
- Development of calibration and synchronization protocols for the combined system.
- Performance evaluation using a phantom study to demonstrate motion tracking and correction capabilities.
Main Results:
- The integrated system achieved sub-millimeter calibration accuracy.
- Lightweight markers provided accurate 3D motion data.
- A significant reduction in motion artifacts was observed in the phantom study.
- The system demonstrated potential for rigid-body motion correction in small animal PET.
Conclusions:
- The developed motion tracking system is a viable tool for improving image quality in small animal PET.
- This approach represents a practical step towards effective motion correction in preclinical imaging.
- Further improvements in synchronization and pose measurement accuracy are possible.

