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 for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

65
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...
65
Computed Tomography01:10

Computed Tomography

5.7K
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...
5.7K
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

112
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
112
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

133
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
133
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

44
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...
44
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

291
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
291

You might also read

Related Articles

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

Sort by
Same author

SCULPT: Medical student and resident doctor comprehension, uptake of learning and perception of aesthetic surgery and training.

JPRAS open·2026
Same author

Deconvoluting the Electrophysiological Signatures of Myocardial Ischemia using a Validated Machine Learning Framework.

F1000Research·2026
Same author

Joint Decision-Making in IR: A Retrospective Analysis of the Use of Audiovisual Patient Educational Tools for Patient Anxiety and Understanding.

Journal of vascular and interventional radiology : JVIR·2025
Same author

Impact of Atrial Fibrillation on the Outcome of Patients with Brugada Syndrome: A Meta-Analysis.

Journal of cardiovascular development and disease·2025
Same author

Left ventricular unloading in patients with cardiogenic shock treated with veno-arterial extracorporeal membrane oxygenation.

European heart journal open·2025
Same author

Mechanical circulatory support devices vs. standard medical therapy for treatment of myocardial infarction complicated by cardiogenic shock: a network meta-analysis.

European heart journal. Quality of care & clinical outcomes·2025

Related Experiment Video

Updated: Sep 2, 2025

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

414

Machine learning applications in cardiac computed tomography: a composite systematic review.

Jonathan James Hyett Bray1,2, Moghees Ahmad Hanif2, Mohammad Alradhawi3

  • 1Institute of Life Sciences 2, Swansea University Medical, School, Swansea, UK.

European Heart Journal Open
|August 3, 2022
PubMed
Summary

Machine learning (ML) enhances cardiac computed tomography (CT) analysis, improving accuracy in diagnosing conditions like coronary artery disease and aiding in treatment decisions for aortic stenosis and atrial fibrillation.

Keywords:
Artificial intelligenceCardiac computed tomographyMachine learning

More Related Videos

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
11:09

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

3.8K
Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
06:57

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

1.1K

Related Experiment Videos

Last Updated: Sep 2, 2025

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

414
High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
11:09

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

3.8K
Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
06:57

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

1.1K

Area of Science:

  • Cardiology
  • Radiology
  • Artificial Intelligence

Background:

  • Cardiac computed tomography (CT) is increasingly analyzed using artificial intelligence (AI) and machine learning (ML).
  • Significant advancements have been made in integrating ML with cardiac CT for various diagnostic applications.

Purpose of the Study:

  • To provide an overview of contemporary advances in cardiac CT analysis driven by ML.
  • To review the latest studies and evolving techniques combining ML and cardiac CT.

Main Methods:

  • A systematic literature search was conducted across Medline, Embase, and Cochrane Library up to November 2021.
  • Studies focused on six key areas: CT-fractional flow reserve (CT-FFR), atrial fibrillation (AF), aortic stenosis, plaque characterization, fat quantification, and coronary artery calcium scoring.
  • 57 relevant studies were included in the review.

Main Results:

  • ML algorithms accurately estimate non-invasive CT-FFR, potentially reducing the need for invasive angiography.
  • Automated and accurate calculation of coronary artery calcification and non-calcified lesions is now possible.
  • ML enables rapid and accurate quantification of epicardial adipose tissue.
  • Streamlined ML algorithms improve aortic annular measurements for transcatheter aortic valve replacement (TAVR) planning.
  • ML-driven segmentation of the left atrium (LA) aids in predicting post-ablation atrial fibrillation recurrence.

Conclusions:

  • ML significantly enhances the capabilities of cardiac CT, offering more accurate and efficient diagnostic tools.
  • These AI-driven advancements have the potential to improve patient outcomes in cardiovascular care, from diagnosis to treatment planning.