Optimizing positron emission tomography for accurate plant imaging using Monte Carlo simulations to correct positron range effects
Abstract Positron Emission Tomography (PET) is a valuable tool for plant imaging, but its accuracy can be compromised by positron range effects. This study improves PET accuracy using the GATE Monte Carlo simulation tool to estimate and correct these effects. The GATE model was validated for the Sie...
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| Main Authors: | Rahal Saaidi, Yahya Tayalati, Abdelouahed El Fatimy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-95670-y |
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