4 papers
Machine learning enables experimental access to photon-by-photon arrival times in scintillation detectors
Yuya Onishi, Ryosuke Ota, Fumio Hashimoto +4
Scintillation detectors with excellent timing resolution enable more precise localization of radiation sources in positron emission tomography, leading to substantial improvements…
Imaging simulation of a dual-panel PET geometry with ultrafast TOF detectors
Taiyo Ishikawa, Go Akamatsu, Hideaki Tashima +7
In positron emission tomography (PET), time-of-flight (TOF) information localizes source positions along lines of response. Cherenkov-radiator-integrated microchannel-plate photomu…
Exploiting network optimization stability for enhanced PET image denoising using deep image prior
Fumio Hashimoto, Kibo Ote, Yuya Onishi +5
PET is affected by statistical noise due to constraints on tracer dose and scan duration, impacting both diagnostic performance and quantitative accuracy. While deep learning (DL)-…
A quantitative assessment of Geant4 for predicting the yield and distribution of positron-emitting fragments in ion beam therapy
Andrew Chacon, Harley Rutherford, Akram Hamato +14
Purpose: To compare the accuracy with which different hadronic inelastic physics models across ten Geant4 Monte Carlo simulation toolkit versions can predict positron-emitting frag…