BOSS: Bones, organs and skin shape model

K Shetty, A Birkhold, S Jaganathan, N Strobel… - Computers in Biology …, 2023 - Elsevier
A virtual anatomical model of a patient can be a valuable tool for enhancing clinical tasks
such as workflow automation, patient-specific X-ray dose optimization, markerless tracking …

A practical and robust method for beam blocker-based cone beam CT scatter correction

H Cui, X Jiang, W Tang, HM Lu… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. In the traditional beam-blocker based cone beam CT (CBCT) scatter correction,
the scatter measured in the region shaded by lead strips was multiplied by a correction …

X-ray scatter in projection radiography

S Ylimaula, L Räsänen, M Hurskainen… - Radiation Protection …, 2024 - academic.oup.com
Projection radiography is the most common radiological modality, and radiation safety of it
concerns both radiation workers and the public. We measured and generated a series of …

ComptoNet: An End-to-End Deep Learning Framework for Scatter Estimation in Multi-Source Stationary CT

Y **a, Z Chen, L Zhang, Y **ng, H Gao - arxiv preprint arxiv:2501.09986, 2025 - arxiv.org
Multi-source stationary computed tomography (MSS-CT) offers significant advantages in
medical and industrial applications due to its gantry-less scan architecture and/or capability …

A flexible image reconstruction algorithm for eliminating diffuse scattering in widespread X-ray radiography

X Zhao, Y Tan, Z Duan, X Li, W Qian, X Wang… - Optics & Laser …, 2024 - Elsevier
In high-energy X-ray radiography, the unpredictable photon scattering from the imaging
system invariably disturbs imaging quality. Scattering-induced distortions in X-ray …

A dual-domain network with division residual connection and feature fusion for CBCT scatter correction

S Yang, Z Wang, L Chen, Y Cheng… - Physics in Medicine …, 2025 - iopscience.iop.org
Objective. This study aims to propose a dual-domain network that not only reduces scatter
artifacts but also retains structure details in CBCT. Approach. The proposed network …

Evaluation of radiation protection effectivity in a cardiac angiography room using visualized scattered radiation distribution

T Fujibuchi, M Nakashima, H Arakawa… - Journal of …, 2024 - iopscience.iop.org
In this study, we devised a radiation protection tool specifically designed for healthcare
professionals and students engaged in cardiac catheterization to easily monitor and …

Deep learning model for predicting the spatial distribution of binding energy from atomic configurations

S Saito, S Sato, H Nakamura… - Japanese Journal of …, 2024 - iopscience.iop.org
Understanding plasma-material interaction is crucial for achieving steady-state operation of
magnetic confinement fusion devices. Kinetic Monte Carlo (kMC) simulation is a powerful …

Characteristics of the energy spread kernels of scattered radiation in an x‐ray room

A González‐López - Medical Physics, 2023 - Wiley Online Library
Purpose To describe the scattered radiation spectra inside an x‐ray room for different
scattering conditions. Methods Monte Carlo simulations of an x‐ray room using phantoms of …

Radiation exposure in x-ray guided interventions by using deep learning and Monte Carlo simulations

MV Arias - 2023 - theses.hal.science
L'utilisation de l'imagerie à rayons X dans les procédures interventionnelles surexpose le
personnel médical à des rayonnements ionisants nocifs. Les techniques computationnelles …