Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

An integrated research tool for X-ray imaging simulation.

D Lazos¹, K Bliznakova, Z Kolitsi

¹Department of Medical Physics, School of Medicine, University of Patras, 26500 Rio, Patras, Greece.

Computer Methods and Programs in Biomedicine

|February 13, 2003

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Assessment of students' satisfaction with virtual robotic surgery training.

Heliyon·2023

Same author

GEANT4 Monte Carlo simulations for virtual clinical trials in breast X-ray imaging: Proof of concept.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2020

Same author

Health Technology Assessment and Biomedical Engineering: Global trends, gaps and opportunities.

Medical engineering & physics·2019

Same author

Investigation of the refractive index decrement of 3D printing materials for manufacturing breast phantoms for phase contrast imaging.

Physics in medicine and biology·2019

Same author

Normalized glandular dose coefficients in mammography, digital breast tomosynthesis and dedicated breast CT.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2018

Same author

A hybrid simulation framework for computer simulation and modelling studies of grating-based x-ray phase-contrast images.

Physics in medicine and biology·2018

Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026

Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026

Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026

Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026

Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026

Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026

See all related articles

This study introduces advanced software for simulating X-ray radiography, enhancing medical imaging through detailed radiation transport and dose calculations for improved diagnostic accuracy.

Area of Science:

Medical Physics
Radiological Imaging
Computational Science

Background:

Accurate simulation of X-ray projection radiography is crucial for medical imaging research and development.
Existing tools may lack comprehensive modeling of the entire imaging chain, from beam generation to dose calculation.

Purpose of the Study:

To present an advanced software simulation package for the complete X-ray projection radiography process.
To enhance functionalities, user interface, and application range compared to previous systems.

Main Methods:

Utilized combinatorial geometry for sophisticated phantom design (geometrical or voxelized primitives).
Implemented a Monte Carlo code to simulate radiation interaction within absorbers and detectors.
Modeled beam generation, radiation transport, image formation, and dose calculation.

Related Experiment Videos

Main Results:

The software simulates the entire X-ray projection radiography process, including complex phantom interactions.
Acquired projection images accurately represent 2D spatial energy absorption in the detector.
New functionalities and an expanded application range were achieved through advanced modeling techniques.

Conclusions:

The developed software provides a powerful and versatile tool for simulating X-ray radiography.
Its enhanced capabilities facilitate more accurate modeling and analysis in radiological imaging.
The integration of combinatorial geometry and Monte Carlo methods advances simulation fidelity.