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Optimum selection for multi-interaction events in Compton-PET hybrid reconstruction: a Monte Carlo study
Hideaki Tashima1, Takumi Nishina2,3, Sodai Takyu2
1National Institutes for Quantum Science and Technology, 4-9-1, Anagawa, Inage-ku, Chiba-shi, Chiba, 263-8555, Japan. tashima.hideaki@qst.go.jp.
This study found that treating multi-interaction events as Positron Emission Tomography (PET) events exclusively improves image quality in Compton PET imaging. Utilizing these recovered PET events enhances spatial resolution without increasing noise levels.
Area of Science:
- Medical Imaging
- Nuclear Physics
- Computational Science
Background:
- Compton PET scanners incorporate scatterers, leading to multi-interaction events.
- These events can be processed as either PET or Compton events, offering opportunities for data recovery.
Purpose of the Study:
- To develop a method for maximizing image quality in Compton PET by utilizing redundant multi-interaction events.
- To compare the effectiveness of different event processing strategies on image reconstruction.
Main Methods:
- Monte Carlo simulations were performed for C-shaped Compton-PET and whole gamma imaging (WGI) geometries.
- A hybrid image reconstruction method was employed, combining both PET and Compton events.
- Multi-interaction events were selectively recovered as PET events and analyzed.
Main Results:
- Recovering multi-interaction events as PET events improved spatial resolution while maintaining noise levels.
- The image quality improvement was more pronounced in WGI compared to C-shaped Compton PET.
- Including recovered PET events as Compton events in hybrid reconstruction did not enhance image quality.
Conclusions:
- Exclusively treating recovered multi-interaction events as PET events is optimal for enhancing image quality in Compton PET.
- The strategy of PET event recovery offers a valuable approach to improve diagnostic accuracy in advanced PET systems.
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