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Optimization of signal in positron emission tomography scans: present and future developments
1Division of Nuclear Medicine, University Hospital of Geneva, Switzerland.
Summary
Removing septa in neuroPET scanners significantly boosts sensitivity from 0.5% to 3%. This improvement enhances signal detection, especially in low photon counting rate studies, by increasing solid angle coverage.
Area of Science:
- Medical Imaging
- Nuclear Medicine
- Instrumentation
Background:
- State-of-the-art neuroPET tomographs have limited absolute sensitivity (approx. 0.5%) due to interplane septa.
- Interplane septa reduce photon utilization by limiting solid angle coverage and acceptance of true coincidences.
- Existing scanners have limited axial length (approx. 10 cm), further restricting solid angle coverage.
Purpose of the Study:
- To investigate the impact of removing interplane septa on neuroPET scanner sensitivity.
- To evaluate the trade-offs between increased sensitivity and potential increases in scattered/random coincidences.
- To assess the benefit of retractable septa for optimizing neuroPET imaging configurations.
Main Methods:
- Comparison of neuroPET scanner sensitivity with and without interplane septa.
- Analysis of photon utilization, solid angle coverage, and coincidence rates (true, scattered, random).
- Consideration of scanner configurations with automatically retractable septa.
Main Results:
- Removal of interplane septa increases absolute sensitivity to approximately 3%.
- Septa removal enhances solid angle coverage, improving photon utilization.
- Increased scattered and random coincidences are observed with septa removal, but may be acceptable for signal improvement.
Conclusions:
- Septa removal offers a significant increase in neuroPET scanner sensitivity, improving signal detection.
- The trade-off of increased scatter/random coincidences is acceptable in low photon counting rate studies if signal-to-noise ratio improves.
- Retractable septa technology allows for adaptable neuroPET configurations, optimizing performance based on study requirements.