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Updated: Oct 29, 2025
06:28
Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
Published on: January 30, 2020
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Monte Carlo evaluation of a LYSO-based Compton camera using two origin ensemble algorithms with resolution recovery.
1Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei City, Taiwan.
Medical Physics
|July 14, 2021
Summary
A new regularized algorithm (ROE-RR) improves Compton camera image quality for proton therapy range verification. This method enhances spatial resolution and accuracy, crucial for reliable treatment monitoring.
Area of Science:
- Medical Physics
- Nuclear Instrumentation
Background:
- Compton cameras using lutetium-yttrium orthosilicate (LYSO) crystals have limited spatial resolution.
- This limitation impacts the reliability of range verification in proton therapy.
Purpose of the Study:
- To evaluate a LYSO-based Compton camera using the origin ensemble with resolution recovery (OE-RR) algorithm.
- To introduce and assess a regularized version, ROE-RR, for improved performance.
Main Methods:
- Simulated a two-layer LYSO Compton camera detecting prompt gammas from proton irradiation.
- Reconstructed prompt gamma images using OE-RR and the proposed ROE-RR algorithms.
- Compared algorithm performance based on Bragg peak position accuracy and image quality.
Main Results:
- Both OE-RR and ROE-RR accurately estimated Bragg peak position (2.5 mm mean error).
- ROE-RR demonstrated greater stability, requiring fewer iterations than OE-RR.
- ROE-RR yielded superior image quality, particularly with low-count data.
Conclusions:
- Resolution-recovery algorithms are essential for Compton cameras in proton therapy.
- The ROE-RR algorithm offers enhanced performance for reliable range verification.
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