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

167
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...
167
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

235
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,...
235
Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

632
Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
632
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

392
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...
392

You might also read

Related Articles

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

Sort by
Same author

Fully Automated AI-Based Lymph Node Measurements in Chest CT: Accuracy and Reproducibility Compared with Multi-Reader Assessment.

Diagnostics (Basel, Switzerland)·2026
Same author

Stability of dynamic radiomics features in cardiac MRI under noise.

European heart journal. Imaging methods and practice·2026
Same author

Automated Lymph Node Localization and Segmentation in Patients with Head and Neck Cancer: Opportunities and Limitations of Using a Generic AI Model.

Diagnostics (Basel, Switzerland)·2026
Same author

Unconditional latent diffusion models memorize patient imaging data.

Nature biomedical engineering·2025
Same author

Joint image reconstruction and segmentation of real-time cardiovascular magnetic resonance imaging in free-breathing using a model based on disentangled representation learning.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2025
Same author

Computed Tomography-Image-Based Glioma Grading Using Radiomics and Machine Learning: A Proof-of-Principle Study.

Cancers·2025
Same journal

Antithrombotic Management in Patients with Chronic Coronary Syndrome Receiving Oral Anticoagulation.

Current cardiology reports·2026
Same journal

Transcriptome Reprogramming in Heart Failure: The Hidden Splicing Code.

Current cardiology reports·2026
Same journal

Diagnosis and Management of Loeys-Dietz Syndrome: Evidence Gaps and Future Directions.

Current cardiology reports·2026
Same journal

Correction: Heart Disease in Older Women: Unique Challenges in Diagnosis and Management.

Current cardiology reports·2026
Same journal

Beyond the ICD: Navigating Ventricular Tachycardia Suppression Strategies in the Modern Era.

Current cardiology reports·2026
Same journal

Updates on Pathophysiology of Pericarditis to Guide Development of Therapeutics.

Current cardiology reports·2026
See all related articles

Related Experiment Video

Updated: Dec 9, 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

594

Artificial Intelligence and Texture Analysis in Cardiac Imaging.

Manoj Mannil1,2, Matthias Eberhard3, Jochen von Spiczak3

  • 1Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. manoj.mannil@ukmuenster.de.

Current Cardiology Reports
|September 10, 2020
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers significant potential in cardiac imaging for objective analysis, improving patient care. AI assists radiologists and clinicians by enhancing image interpretation and acquisition across various modalities.

Keywords:
Artificial intelligenceCTCardiac imagingMRIRadiomicsTexture analysis

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

4.1K
Assessing Cardiac Reprogramming using High Content Imaging Analysis
06:02

Assessing Cardiac Reprogramming using High Content Imaging Analysis

Published on: October 26, 2020

1.4K

Related Experiment Videos

Last Updated: Dec 9, 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

594
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

4.1K
Assessing Cardiac Reprogramming using High Content Imaging Analysis
06:02

Assessing Cardiac Reprogramming using High Content Imaging Analysis

Published on: October 26, 2020

1.4K

Area of Science:

  • Cardiovascular Imaging
  • Artificial Intelligence
  • Medical Image Analysis

Background:

  • Cardiac imaging interpretation is often subjective and observer-dependent.
  • Artificial intelligence (AI) and texture analysis offer novel approaches to objective image assessment.
  • AI has demonstrated potential in improving diagnostic accuracy and efficiency in cardiovascular medicine.

Purpose of the Study:

  • To review current research applications of AI and texture analysis in cardiac imaging.
  • To identify emerging opportunities and advancements in this field.
  • To highlight the potential of AI in enhancing cardiovascular patient care.

Main Methods:

  • Structured review of current literature on AI and texture analysis in cardiac imaging.
  • Analysis of AI applications across various cardiac imaging modalities (e.g., MRI).
  • Examination of AI's role in image analysis, detection, prediction, and reconstruction.

Main Results:

  • AI shows great promise for objective image analysis, overcoming subjective interpretation limitations.
  • Applications include myocardial scar detection, contrast enhancement prediction, and improved image acquisition/reconstruction.
  • AI facilitates novel applications for cardiovascular patient care.

Conclusions:

  • AI holds tremendous potential as a resourceful assistant for radiologists and clinicians in cardiac imaging.
  • Despite current limitations, AI is poised to significantly advance cardiovascular diagnostics and patient management.
  • Continued research and development in AI for cardiac imaging are crucial for realizing its full benefits.