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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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: Jun 18, 2026

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
10:24

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

Published on: May 7, 2021

GEANT4 simulations for low energy proton computerized tomography.

Edney Milhoretto1, Hugo R Schelin, João A P Setti

  • 1Federal University of Technology-Parana, UTFPR, Curitiba-PR, Brazil.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|November 26, 2009
PubMed
Summary
This summary is machine-generated.

Computer simulations refined proton beam tomographic scanner parameters. Enhanced accuracy in proton energy spectra analysis was achieved by incorporating beam spread and detailed phantom geometry.

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Last Updated: Jun 18, 2026

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Area of Science:

  • Medical Physics
  • Particle Accelerator Technology
  • Computational Imaging

Background:

  • The Institute of Nuclear Engineering (IEN) utilizes a CV-28 cyclotron for low-energy proton beam applications.
  • Proton beam tomography offers a unique imaging modality, but accurate simulation is crucial for experimental validation.

Purpose of the Study:

  • To refine computer simulation parameters for a low-energy proton beam tomographic scanner.
  • To investigate factors influencing proton energy spectra in tomographic measurements.
  • To improve the realism of simulation models based on initial experimental data.

Main Methods:

  • Advanced computer simulations were conducted for the proton beam tomographic scanner.
  • Initial proton beam energy and angular spread were incorporated into the simulation model.
  • Virtual phantom geometry was meticulously defined to match the physical setup more closely.

Main Results:

  • Simulation parameters were successfully adjusted to align with preliminary experimental outcomes.
  • The inclusion of beam spread and refined phantom geometry led to a more accurate representation of measured proton energy spectra.
  • Specific effects impacting spectral form were better understood through the enhanced simulation.

Conclusions:

  • The refined simulation model provides a more realistic depiction of proton beam tomography measurements.
  • This improved model facilitates better interpretation of experimental data and further optimization of the tomographic scanner.
  • Accurate simulation is vital for advancing proton beam imaging techniques.