ComptonNet: A direct reconstruction model for Compton camera
S Sato, KS Tanaka, J Kataoka - Applied Physics Letters, 2024 - pubs.aip.org
A Compton camera is a gamma-ray imaging device, especially in the sub-mega-electron volt
to higher than mega-electron volt range. Compton cameras have recently attracted attention …
to higher than mega-electron volt range. Compton cameras have recently attracted attention …
Boron concentration prediction from Compton camera image for boron neutron capture therapy based on generative adversarial network
Prompt gamma monitoring for the prediction of boron concentration is valuable for the dose
calculation of boron neutron capture therapy (BNCT). This work proposes to use generative …
calculation of boron neutron capture therapy (BNCT). This work proposes to use generative …
Feasibility study of fast neutron-induced gamma ray imaging of large sample based on DT neutron generator
D Hei, W Jia, C Cheng, Z Yao, Q Shan, Y Ling… - Nuclear Instruments and …, 2021 - Elsevier
Elemental imaging plays an important role in characterizing the chemical and physical
properties of large samples. In this work, a position-sensitive technique using prompt …
properties of large samples. In this work, a position-sensitive technique using prompt …
Low-dose PET image denoising based on coupled dictionary learning
Y Xu, Z Li, X Zhang, W Fan, C Zhou, D Que… - Nuclear Instruments and …, 2021 - Elsevier
Reducing the doses of tracers in positron emission tomography (PET) scans can effectively
reduce the damage caused to the patient's health, but at the same time, doing so reduces …
reduce the damage caused to the patient's health, but at the same time, doing so reduces …
High-statistics image generation from sparse radiation images by four types of machine-learning models
With the development of nuclear medicine diagnostics and treatment, the demand for image
processing techniques has been increasing. Although single photon emission computed …
processing techniques has been increasing. Although single photon emission computed …
Collimator-based Coincidence Imaging for Double Photon Emitting Nuclides
MA Choghadi, M Kitajima, M Uenomachi… - Radioisotopes, 2021 - jstage.jst.go.jp
We have proposed a new concept of time/position correlation type tomographic method
based on a directionality-sensitive gamma camera, which can identify incident γ-ray …
based on a directionality-sensitive gamma camera, which can identify incident γ-ray …
Machine-learning Application to Fermi-LAT Data: Sharpening All-sky Map and Emphasizing Variable Sources
A novel application of machine-learning (ML) based image processing algorithms is
proposed to analyze an all-sky map (ASM) obtained using the Fermi Gamma-ray Space …
proposed to analyze an all-sky map (ASM) obtained using the Fermi Gamma-ray Space …