AIMC Topic: Monte Carlo Method

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GATE 10 Monte Carlo particle transport simulation: II. Architecture and innovations.

Physics in medicine and biology
Over the past years, we have developed GATE version 10, a major re-implementation of the long-standing Geant4-based Monte Carlo application for particle and radiation transport simulation in medical physics. This release introduces many new features ...

Machine learning-based modeling of the anode heel effect in x-ray Beam Monte Carlo simulations.

Physics in medicine and biology
To develop a machine learning-based framework for accurately modeling the anode heel effect in Monte Carlo(MC) simulations of x-ray imaging systems, enabling realistic beam intensity profiles with minimal experimental calibration.Multiple regression ...

Fast operating room scattered radiation calculation in x-ray guided interventions by using deep learning.

Journal of radiological protection : official journal of the Society for Radiological Protection
Protecting medical personnel from the harmful effects of scattered ionising radiation during x-ray-guided procedures is a critical concern. Due to the complex and invisible nature of x-rays, monitoring radiation exposure has been challenging. Existin...

Scout-Dose-TCM: direct and prospective scout-based estimation of personalized organ and effective doses from tube current modulated CT exams.

Physics in medicine and biology
This study proposes Scout-Dose-TCM for direct, prospective estimation of organ-level and effective doses under tube current modulation (TCM) and compares its performance with two established methods.Contrast-enhanced chest-abdomen-pelvis CT exams fro...

Investigation of data-driven stopping power calibration of treatment planning x-ray CT from simulated sparse-view proton radiographies.

Physics in medicine and biology
Proton therapy treatment planning currently needs to account for relatively large range uncertainty margins primarily due to the semi-empirical calibration of the treatment planning x-ray computed tomography (CT) to proton stopping power relative to ...

Neural network-driven direct CBCT-based dose calculation for head-and-neck proton treatment planning.

Physics in medicine and biology
Accurate dose calculation on cone beam computed tomography (CBCT) images is essential for modern proton treatment planning workflows, particularly when accounting for inter-fractional anatomical changes in adaptive treatment scenarios. Traditional CB...

ATR-FTIR Spectroscopy of Saliva and Machine Learning as a Screening Test for Sjögren Disease.

Analytical chemistry
Sjögren's disease is often an underdiagnosed autoimmune condition that primarily affects the exocrine glands, resulting in symptoms such as dry eyes and dry mouth. Diagnostic challenges stem from nonspecific symptoms, the absence of definitive biomar...

Surrogate modeling for time-dependent reliability analysis of robotic manipulator trajectories.

PloS one
The kinematic reliability analysis of robotic manipulators is crucial due to uncertainties such as joint variations, manufacturing tolerances, and external disturbances. Traditional methods often rely on analytical techniques that struggle with nonli...

Review of GPU-based Monte Carlo simulation platforms for transmission and emission tomography in medicine.

Physics in medicine and biology
. Monte Carlo (MC) simulation remains the gold standard for modeling complex physical interactions in transmission and emission tomography, with graphic processing unit (GPU) parallel computing offering unmatched computational performance and enablin...

Active Learning of Atomic Size Gas/Solid Potential Energy Surfaces via Physics Aware Models.

Journal of chemical information and modeling
We propose an active learning (AL) framework to develop classical force fields (FFs) that accurately model the potential energy surfaces (PES) of gas/solid atomic-scale complexes. A central challenge is integrating AL with flexible, computationally e...