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 VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

3
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...
3
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

3
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...
3
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

143
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...
143

You might also read

Related Articles

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

Sort by
Same author

Intercostal Vein Approach for Balloon-occluded Retrograde Transvenous Obliteration of Gastric Varices: A Case Report.

Interventional radiology (Higashimatsuyama-shi (Japan)·2026
Same author

Identification of coronary calcified nodules on noninvasive coronary CT: A two-case report with intravascular imaging correlation.

Radiology case reports·2026
Same author

Cardiac magnetic resonance findings in two cases of hypertrophic cardiomyopathy with <i>MYH7</i> and <i>MYBPC3</i> variants: Limitations of genotype-based phenotypic prediction.

Journal of cardiology cases·2026
Same author

Factors Associated with the Venous Penetration of a NBCA-Lipiodol Mixture during Transarterial Embolization: A Clinical Study of Intracranial Dural Arteriovenous Fistulas.

Journal of neuroendovascular therapy·2026
Same author

Right Atrial Function as a Novel Predictor for New-Onset Atrial Fibrillation in Transthyretin Amyloid Cardiomyopathy.

Journal of the American Heart Association·2026
Same author

Image Quality Advancements in Low-Dose Pediatric CT Using Super-Resolution Deep-Learning Reconstruction.

Journal of imaging informatics in medicine·2026

Related Experiment Video

Updated: Jun 5, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

15.1K

Machine Learning for Evaluating Vulnerable Plaque on Coronary Computed Tomography Using Spectral Imaging.

Junji Mochizuki1, Yoshiki Hata1, Takeshi Nakaura2

  • 1Minamino Cardiovascular Hospital Tokyo Japan.

Circulation Reports
|December 11, 2024
PubMed
Summary

Dual-energy CT spectral imaging enhances coronary plaque characterization. Machine learning models using CT histograms improved diagnostic performance for vulnerable versus stable plaques.

Keywords:
Coronary plaque characterizationDual-energy CTHistogram parametersMachine learningSpectral imaging

More Related Videos

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

928
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

3.8K

Related Experiment Videos

Last Updated: Jun 5, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

15.1K
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

928
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

3.8K

Area of Science:

  • Cardiovascular imaging
  • Radiology
  • Medical physics

Background:

  • Coronary plaque characterization is crucial for assessing cardiovascular risk.
  • Dual-energy computed tomography (CT) offers advanced imaging capabilities.
  • Spectral imaging provides quantitative data beyond conventional CT.

Purpose of the Study:

  • To evaluate if spectral imaging with dual-energy CT improves diagnostic performance for coronary plaque characterization.
  • To assess the utility of CT histogram parameters for differentiating vulnerable and stable plaques.

Main Methods:

  • Retrospective analysis of 30 patients with coronary plaques using dual-layer CT angiography and intravascular ultrasound (IVUS).
  • Calculation of 7 histogram parameters from plaque CT numbers at various virtual monochromatic energy levels (40-140 keV).
  • Development and validation of predictive models using histogram data, plaque volume, and stenosis, evaluated by area under the receiver operating characteristic curve (AUC).

Main Results:

  • Optimal diagnostic performance for histogram parameters was observed between 40-110 keV.
  • A histogram-based model achieved an AUC of 0.81 at 65 keV.
  • A combined model (histogram data + plaque volume) reached an AUC of 0.85, comparable to qualitative CT characteristics (AUC=0.88).

Conclusions:

  • Spectral imaging with dual-energy CT enhances diagnostic performance for coronary plaque characterization.
  • Machine learning models utilizing CT histograms derived from spectral imaging show promise for plaque analysis.
  • This technique can aid in differentiating vulnerable from stable coronary plaques.