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

7.8K
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...
7.8K
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

177
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
177
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

187
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...
187
Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

917
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
917
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

675
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
675

You might also read

Related Articles

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

Sort by
Same author

Taking a Glimpse Into the Brain's Immune System: Imaging and Blood-Based Biomarkers of the Poststroke Immune Response.

Stroke·2026
Same author

Reperfusion Therapy in ESCAPE-MeVO Trial Participants: Imaging Characteristics and Clinical Outcomes.

Radiology·2026
Same author

Signe de cils in peripheral facial palsy.

Lancet (London, England)·2026
Same author

A Primer on Medium Vessel Occlusion Stroke: From Detection to Treatment.

Seminars in interventional radiology·2026
Same author

Perceived Safety and Efficacy of Middle Meningeal Artery Embolization: Results from an International Survey.

Clinical neuroradiology·2026
Same author

Establishing a Sex-Specific Cut-Off for Temporal Bone Thickness in Transcranial Color-Coded Duplex Sonography.

Brain sciences·2026

Related Experiment Video

Updated: Dec 15, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.9K

[Artificial intelligence-based algorithms : Decision-making support for computed tomography of the chest].

Panagiota Manava1, Marco Galster2, Henrik Heinen1

  • 1Institut für Radiologie und Nuklearmedizin, Klinikum Nürnberg, Paracelsus Medizinische Privatuniversität, Prof. Ernst-Nathan-Str. 1, 90419, Nürnberg, Deutschland.

Der Radiologe
|July 9, 2020
PubMed
Summary

Artificial intelligence (AI) algorithms are enhancing chest CT analysis in radiology for tasks like lung lesion detection. While AI shows promise, current accuracy necessitates verification by experienced radiologists.

Keywords:
Analysis of vertebra bodiesCoronary calcium scoreLung lesion detectionLung lobe segmentationVessel segmentation

More Related Videos

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

1.2K
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

957

Related Experiment Videos

Last Updated: Dec 15, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.9K
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

1.2K
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

957

Area of Science:

  • Radiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) algorithms are increasingly integrated into radiological practices.
  • Key applications include detecting lung lesions and diagnosing interstitial and obstructive lung diseases.

Purpose of the Study:

  • To train and evaluate a suite of AI algorithms for analyzing chest computed tomographic (CT) images.
  • The goal is to provide quantitative measurements to aid radiologists.

Main Methods:

  • Development and training of algorithms for: lung lesion detection/measurement, lung lobe segmentation, vessel segmentation/measurement, coronary calcium scoring, and vertebral body analysis.
  • Evaluation of algorithm performance on chest CT data.

Main Results:

  • Trained algorithms demonstrated capabilities in quantitative analysis of various thoracic structures.
  • The study assessed the accuracy of AI in performing specific radiological measurements.

Conclusions:

  • AI algorithms are poised to become integral to daily radiological workflow.
  • Current AI accuracy mandates that an experienced radiologist verify the results before clinical use.