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

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

893
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...
893
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

Visualization of nonlinearity in image reconstruction using nonlocal means filters for regularization under noisy conditions.

Radiological physics and technology·2026
Same author

Understanding nonlinearity in weighted least-squares image reconstruction for nuclear medicine.

Radiological physics and technology·2026
Same author

Lung Abscess Caused by Pseudomonas aeruginosa after a Near-drowning Episode.

Internal medicine (Tokyo, Japan)·2025
Same author

Understanding nonlinearity in statistical image reconstruction for nuclear medicine.

Radiological physics and technology·2025
Same author

Prognostic value of systemic immune-inflammation index in patients with small-cell lung cancer treated with immune checkpoint inhibitors.

BMC cancer·2025
Same author

Usefulness of a new anthropomorphic phantom simulating the chest and abdomen regions in PET tests.

Annals of nuclear medicine·2024
Same journal

[Report of the 129th Scientific Meeting of Japan Society of Medical Physics].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics·2026
Same journal

[RPT Doi Award: A novel internal target volume definition based on velocity and time of respiratory target motion for external beam radiotherapy].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics·2026
Same journal

[RPT Doi Award: Visualization of distribution in the vitreous cavity via eye drops using ultra-heavily T2-weighted sequences in MRI: a preliminary study with enucleated pig eyes].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics·2026
Same journal

[RPT Doi Award: Deep learning-based correction for time truncation in cerebral computed tomography perfusion].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics·2026
Same journal

[EDITOR'S NOTE].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics·2026
Same journal

[Medical Physicist-Patient Communication and Advocacy in Radiation Therapy - Insights from AAPM Task Group No. 422].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics·2026
See all related articles

Related Experiment Video

Updated: May 2, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.7K

[Development of computer assisted learning program using cone beam projection for head radiography].

Kazuma Nakazeko1, Hironori Kajiwara2, Hiroyuki Watanabe3

  • 1Department of Radiology, Toho University Ohashi Medical Center, Japan.

Igaku Butsuri : Nihon Igaku Butsuri Gakkai Kikanshi = Japanese Journal of Medical Physics : an Official Journal of Japan Society of Medical Physics
|March 6, 2014
PubMed
Summary
This summary is machine-generated.

A new computer-assisted learning (CAL) program accurately simulates head radiography, offering a valuable tool for training medical professionals in computed radiography (CR) imaging techniques.

More Related Videos

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

2.0K
Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

4.0K

Related Experiment Videos

Last Updated: May 2, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.7K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

2.0K
Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

4.0K

Area of Science:

  • Medical Imaging
  • Radiography Simulation
  • Computer-Assisted Learning

Background:

  • Head radiography is a crucial diagnostic tool.
  • Accurate simulation is needed for effective training.
  • Existing methods may lack flexibility.

Purpose of the Study:

  • To develop and validate a computer-assisted learning (CAL) program for simulating head radiography.
  • To assess the program's accuracy in replicating clinical computed radiography (CR) images.
  • To evaluate the program's utility for training purposes.

Main Methods:

  • Developed a CAL program generating 512x512x512 pixel cone beam projections.
  • Enabled variation of imaging and phantom geometry via a graphical user interface (GUI).
  • Validated simulated images against actual head phantom CR images using correlation analysis and visual assessment.

Main Results:

  • The CAL program successfully simulated head radiography with adjustable imaging geometry.
  • Simulated images showed high accuracy when compared to clinical CR images.
  • Correlation coefficient analysis and visual assessment confirmed the simulation's fidelity.

Conclusions:

  • The CAL program provides a satisfactory simulation of computed radiography (CR) images for head radiography.
  • The program is a potentially useful educational tool for training radiographers.
  • The ability to vary imaging geometry enhances its training value.