[HTML][HTML] The promise of artificial intelligence and deep learning in PET and SPECT imaging
This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
Deep learning-based PET image denoising and reconstruction: a review
This review focuses on positron emission tomography (PET) imaging algorithms and traces
the evolution of PET image reconstruction methods. First, we provide an overview of …
the evolution of PET image reconstruction methods. First, we provide an overview of …
Depth of interaction estimation in a preclinical PET scanner equipped with monolithic crystals coupled to SiPMs using a deep neural network
The scintillation light distribution produced by photodetectors in positron emission
tomography (PET) provides the depth of interaction (DOI) information required for high …
tomography (PET) provides the depth of interaction (DOI) information required for high …
Unbiased TOF estimation using leading-edge discriminator and convolutional neural network trained by single-source-position waveforms
Objective. Convolutional neural networks (CNNs) are a strong tool for improving the
coincidence time resolution (CTR) of time-of-flight (TOF) positron emission tomography …
coincidence time resolution (CTR) of time-of-flight (TOF) positron emission tomography …
Towards Routine Clinical Use of Dosimetry in [177Lu]Lu-PSMA Prostate Cancer Radionuclide Therapy: Current Efforts and Future Perspectives
R Alsadi, M Djekidel, O Bouhali, JO Doherty - Frontiers in Physics, 2022 - frontiersin.org
In light of widely expanding personalized medicine applications and their impact on clinical
outcomes, it is naturally befitting to explore all the dimensional aspects of personalized …
outcomes, it is naturally befitting to explore all the dimensional aspects of personalized …
Lead-free MCP to improve coincidence time resolution and reduce MCP direct interactions
R Ota, K Nakajima, I Ogawa… - Physics in Medicine …, 2021 - iopscience.iop.org
Achieving direct imaging of the annihilation position of a positron on an event-by-event basis
using an ultrafast detector would have a great impact on the field of nuclear medicine …
using an ultrafast detector would have a great impact on the field of nuclear medicine …
A CNN-based four-layer DOI encoding detector using LYSO and BGO scintillators for small animal PET imaging
W He, Y Zhao, X Zhao, W Huang, L Zhang… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. We propose a novel four-layer depth-of-interaction (DOI) encoding phoswich
detector using lutetium–yttrium oxyothosilicate (LYSO) and bismuth germanate (BGO) …
detector using lutetium–yttrium oxyothosilicate (LYSO) and bismuth germanate (BGO) …
Direct annihilation position classification based on deep learning using paired Cherenkov detectors: a Monte Carlo study
To apply deep learning to estimate the three-dimensional interaction position of a
Cherenkov detector, an experimental measurement of the true depth of interaction is …
Cherenkov detector, an experimental measurement of the true depth of interaction is …
Timing performance of Cherenkov-radiator-integrated MCP-PMT
R Ota, K Nakajima, I Ogawa… - 2019 IEEE Nuclear …, 2019 - ieeexplore.ieee.org
Coincidence time resolution (CTR) of 10 ps is an ultimate goal toward reconstruction-less
positron emission tomography (PET). One of the ways to enhance the timing performance of …
positron emission tomography (PET). One of the ways to enhance the timing performance of …
The Application of Electromagnetic Sensors for Determination of Cherenkov Cone Inside and in the Vicinity of the Detector Volume in Any Environment Known
The neutrinos of cosmic radiation, due to interaction with any known medium in which the
Cherenkov detector is used, produce energy radiation phenomena in the form of a …
Cherenkov detector is used, produce energy radiation phenomena in the form of a …