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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Related Experiment Video

Updated: Jul 12, 2025

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
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[Model construction and software design of computed tomography radiation system based on visualization].

Ying Liu1, Ting Meng1, Haowei Zhang1

  • 1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|October 25, 2023
PubMed
Summary

This study introduces visualization software for Monte Carlo N-Particle (MCNP) modeling in computed tomography (CT) radiation dose calculations. The software simplifies CT modeling and improves dose calculation accuracy, addressing MCNP

Keywords:
Computed tomography radiation system geometric modelConstructive solid geometryMonte Carlo N-ParticleRadiation doseVisual modeling

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Area of Science:

  • Medical Physics
  • Computational Modeling
  • Radiation Dosimetry

Context:

  • Computed tomography (CT) scans require accurate radiation dose calculations for patient safety and research.
  • Traditional Monte Carlo N-Particle (MCNP) simulations for CT dose assessment are hindered by complex modeling and lack of 3D visualization.
  • Existing MCNP modeling methods present challenges in establishing precise CT radiation system models, impacting dose calculation accuracy.

Purpose:

  • To develop a software tool that visualizes CT modeling and automates MCNP input file generation.
  • To address the complexities of MCNP physical calculations and geometric model input for CT radiation simulations.
  • To enhance the accuracy of radiation dose calculations in CT by improving the CT radiation system modeling process.

Summary:

  • A novel software was designed using LabVIEW and constructive solid geometry (CSG) for visual CT geometry modeling and MCNP input file generation.
  • The software integrates CT modeling improvements from various researchers, providing a theoretical basis for enhanced simulations.
  • The developed visual CT modeling software demonstrated a smaller root mean square error compared to a recent study's CT model, validating its accuracy.

Impact:

  • Provides researchers with a user-friendly tool to create accurate CT radiation system models for MCNP simulations.
  • Offers a new methodological approach for geometric modeling visualization within the MCNP framework.
  • Potential to improve the precision of radiation dose assessments in CT imaging, benefiting both clinical practice and research.