AIMC Topic: Photons

Clear Filters Showing 1 to 10 of 79 articles

optiGAN: a deep learning-based alternative to optical photon tracking in Python-based GATE (10+).

Physics in medicine and biology Jul 2, 2025
To accelerate optical photon transport simulations in the GATE medical physics framework using a generative adversarial network (GAN), while ensuring high modeling accuracy. Traditionally, detailed optical Monte Carlo methods have been the gold stand...
Monte Carlo Method Photons Optical Phenomena Deep Learning Programming Languages
View on PubMed DOI

Towards large nuclear imaging system optical simulations with optiGAN, a generative adversarial network.

Physics in medicine and biology Jun 9, 2025
Optical Monte Carlo (MC) simulations are essential for modeling light transport in radiation detectors used in nuclear imaging and high-energy physics. However, full-system simulations remain computationally prohibitive due to the need to track optic...
Photons Neural Networks, Computer Generative Adversarial Networks Image Processing, Computer-Assisted Monte Carlo Method
View on PubMed DOI

Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating the use of smoother reconstruction kernels that reduce resolution below the 0.125-mm maximum spatial re...
Humans Neural Networks, Computer Signal-To-Noise Ratio Photons Temporal Bone Tomography, X-Ray Computed Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.

Journal of thoracic imaging May 1, 2025
PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model.
Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Photons Male Middle Aged Lung Machine Learning Retrospective Studies Female Tomography, X-Ray Computed Humans Aged Adult
View on PubMed DOI

CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment.

Japanese journal of radiology Mar 7, 2025
PURPOSE: This is a preliminary analysis of one of the secondary endpoints in the prospective study cohort. The aim of this study is to assess the image quality and diagnostic confidence for lung cancer of CT images generated by using cadmium-zinc-tel...
Prospective Studies Tomography, X-Ray Computed Female Aged Male Lung Humans Tellurium Radiographic Image Interpretation, Computer-Assisted Cadmium Photons Deep Learning Zinc Lung Neoplasms
View on PubMed DOI

Evaluation of a Deep Learning Denoising Algorithm for Dose Reduction in Whole-Body Photon-Counting CT Imaging: A Cadaveric Study.

Academic radiology Jan 15, 2025
RATIONALE AND OBJECTIVES: Photon Counting CT (PCCT) offers advanced imaging capabilities with potential for substantial radiation dose reduction; however, achieving this without compromising image quality remains a challenge due to increased noise at...
Photons Radiation Dosage Signal-To-Noise Ratio Whole Body Imaging Humans Algorithms Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Cadaver
View on PubMed DOI

Emulating Low-Dose PCCT Image Pairs With Independent Noise for Self-Supervised Spectral Image Denoising.

IEEE transactions on medical imaging Jan 2, 2025
Photon counting CT (PCCT) acquires spectral measurements and enables generation of material decomposition (MD) images that provide distinct advantages in various clinical situations. However, noise amplification is observed in MD images, and denoisin...
Phantoms, Imaging Humans Photons Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Supervised Machine Learning Signal-To-Noise Ratio
View on PubMed DOI

Photonic platform coupled with machine learning algorithms to detect pyrolysis products of crack cocaine in saliva: A proof-of-concept animal study.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 18, 2024
The non-invasive detection of crack/cocaine and other bioactive compounds from its pyrolysis in saliva can provide an alternative for drug analysis in forensic toxicology. Therefore, a highly sensitive, fast, reagent-free, and sustainable approach wi...
Principal Component Analysis Machine Learning Saliva Animals Pyrolysis Proof of Concept Study Rats Male Photons Support Vector Machine Crack Cocaine Spectroscopy, Fourier Transform Infrared
View on PubMed DOI

Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction.

IEEE transactions on medical imaging Nov 4, 2024
Photon-counting computed tomography (PCCT) reconstructs multiple energy-channel images to describe the same object, where there exists a strong correlation among different channel images. In addition, reconstruction of each channel image suffers phot...
Mice Tomography, X-Ray Computed Phantoms, Imaging Animals Neural Networks, Computer Image Processing, Computer-Assisted Photons Algorithms
View on PubMed DOI

Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiography.

Diagnostic and interventional imaging Oct 4, 2024
PURPOSE: The purpose of this study was to evaluate the diagnostic performance of automated deep learning in the detection of coronary artery disease (CAD) on photon-counting coronary CT angiography (PC-CCTA).
Retrospective Studies Female Aged Sensitivity and Specificity Male Computed Tomography Angiography Middle Aged Humans Photons Deep Learning Coronary Angiography Coronary Artery Disease
View on PubMed DOI
Popular Topics
Recent Journals