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

7.6K
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...
7.6K

You might also read

Related Articles

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

Sort by
Same author

Balancing patients' benefits and risks in computed tomography: a European Society of Radiology 'EuroSafe Imaging' viewpoint.

European radiology·2025
Same author

Descriptive overview of AI applications in x-ray imaging and radiotherapy.

Journal of radiological protection : official journal of the Society for Radiological Protection·2024
Same author

A machine learning-based pipeline for multi-organ/tissue patient-specific radiation dosimetry in CT.

European radiology·2024
See all related articles

Related Experiment Video

Updated: May 2, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.6K

Artificial intelligence-powered personalized patient dosimetry in CT.

John Damilakis1

  • 1Department of Medical Physics, School of Medicine, University of Crete, 71003 Iraklion, Crete, Greece.

BJR Artificial Intelligence
|May 1, 2026
PubMed
Summary

Artificial intelligence (AI) enhances computed tomography (CT) dosimetry by automating organ segmentation and providing rapid, accurate dose assessments. This improves patient safety and optimizes radiation dose management in clinical practice.

Keywords:
X-ray imagingartificial intelligenceconvolutional neural networksdeep learningdeep neural networksdosimetrymachine learningradiation

More Related Videos

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.2K
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

9.1K

Related Experiment Videos

Last Updated: May 2, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.6K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.2K
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

9.1K

Area of Science:

  • Medical Physics
  • Radiology
  • Artificial Intelligence

Background:

  • Advanced X-ray imaging necessitates improved patient dosimetry for optimized radiation dose management.
  • Current dosimetry methods face challenges like time-consuming manual processes and prolonged computation.

Purpose of the Study:

  • To explore the potential of artificial intelligence (AI) in computed tomography (CT) dosimetry.
  • To highlight AI's role in enhancing dose assessment accuracy and speed.

Main Methods:

  • Utilizing machine learning models trained on personalized Monte Carlo dosimetry data.
  • Automating organ segmentation from CT images for precise organ dose estimation.
  • Predicting dose distributions with high accuracy.

Main Results:

  • AI significantly enhances CT dosimetry accuracy and speed.
  • Automated organ segmentation streamlines a critical, time-consuming step.
  • AI facilitates seamless integration of personalized dosimetry into clinical workflows.

Conclusions:

  • AI-powered dosimetry offers substantial advancements over conventional methods.
  • Challenges include data bias and the need for robust validation across diverse populations.
  • Addressing these challenges is key to realizing AI's full potential in CT dosimetry.