Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

9.6K
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...
9.6K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

792
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
792

You might also read

Related Articles

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

Sort by
Same author

Spatial and temporal motion characterization for x-ray CT.

Medical physics·2024
Same author

Deep silicon photon-counting CT: A first simulation-based study for assessing perceptual benefits across diverse anatomies.

European journal of radiology·2024
Same author

Synthetization of high-dose images using low-dose CT scans.

Medical physics·2023
Same author

CT IMAGE RECONSTRUCTION ON A LOW DIMENSIONAL MANIFOLD.

Inverse problems and imaging (Springfield, Mo.)·2022
Same author

Deep learning based correction of low performing pixel in computed tomography.

Biomedical physics & engineering express·2022
Same author

Can Photon-Counting CT Improve Estimation Accuracy of Morphological Radiomics Features? A Simulation Study for Assessing the Quantitative Benefits from Improved Spatial Resolution in Deep Silicon-Based Photon-Counting CT.

Academic radiology·2022
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

Related Experiment Video

Updated: Apr 7, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

16.8K

Deterministic absorbed dose estimation in computed tomography using a discrete ordinates method.

Edward T Norris1, Xin Liu1, Jiang Hsieh2

  • 1Nuclear Engineering, Missouri University of Science and Technology, Rolla, Missouri 65409.

Medical Physics
|July 3, 2015
PubMed
Summary
This summary is machine-generated.

A new deterministic method offers faster patient dose estimation in computed tomography (CT) scans compared to Monte Carlo simulations. This approach provides accurate absorbed dose calculations efficiently for clinical use.

More Related Videos

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

15.0K
A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
09:49

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

Published on: April 24, 2020

10.6K

Related Experiment Videos

Last Updated: Apr 7, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

16.8K
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

15.0K
A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
09:49

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

Published on: April 24, 2020

10.6K

Area of Science:

  • Medical Physics
  • Radiological Sciences
  • Computational Dosimetry

Background:

  • Accurate organ dose estimation is crucial for patient safety during computed tomography (CT) scans.
  • Monte Carlo methods are the gold standard but are computationally intensive for routine clinical application.

Purpose of the Study:

  • To investigate a deterministic method for efficient absorbed dose estimation in CT scanning.
  • To compare the accuracy and speed of this deterministic method against established Monte Carlo techniques.

Main Methods:

  • The study employed the Denovo software package to solve the linear Boltzmann equation using the discrete ordinates method for an axial CT scan model.
  • Simulations included realistic CT scanning parameters and the standard 32 cm CT dose index (CTDI) phantom.
  • Results were benchmarked against a Monte Carlo simulation, with variations in discrete ordinates method parameters explored.

Main Results:

  • The deterministic method showed a small root-mean-square difference (around 2.4%) compared to Monte Carlo simulations.
  • Higher-order Legendre polynomial expansions in the deterministic method slightly underestimated dose in the phantom's center.
  • The most efficient computation was achieved with quadrature set 8 and first-order Legendre expansions, taking 21 minutes on a single PC.

Conclusions:

  • The deterministic method is effective for estimating absorbed dose in CTDI phantoms, offering accuracy comparable to Monte Carlo simulations.
  • The primary advantage of the deterministic method is its significantly faster computation speed.
  • Further optimization holds promise for improving both accuracy and speed in routine clinical CT dose estimation.