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

643
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...
643
Computed Tomography01:10

Computed Tomography

7.5K
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...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Lvvibriocin-GK effectively reduced skin ulcer syndrome of Apostichopus japonicus by eliminating surface bacteria, modulating gut microbiota, and enhancing host immune responses.

Fish & shellfish immunology·2025
Same author

Multiscale Organization of Neural Networks in a 3D Bioprinted Matrix.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Spatial distribution patterns and formation of global spermatophytes.

Journal of integrative plant biology·2025
Same author

P-Band Center Engineering of Sulfur to Weaken Fe─S Bond Toward Superior Sodium-Ion Storage.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Dark nectar pouches are visually similar to colored nectar in bird-pollinated flowers.

Ecology·2025
Same author

An in vivo study of the ameliorative effect of supplementation with Lacticaseibacillus paracasei Glory LP16 in immunocompromised mice.

Scientific reports·2025

Related Experiment Video

Updated: Apr 23, 2026

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
11:13

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Published on: May 24, 2021

8.4K

Automatic heart positioning method in computed tomography scout images.

Hong Li1, Kaihua Liu2, Hang Sun2

  • 1School of Sino-Dutch Biomedical & Information Engineering, Northeastern University, Shenyang 110819, China Key Laboratory of Medical Imaging Computing (Ministry of Education), Northeastern University, Shenyang 110819, China.

Bio-Medical Materials and Engineering
|September 18, 2014
PubMed
Summary
This summary is machine-generated.

This study presents an automatic method for heart positioning in computed tomography (CT) scout images, crucial for reducing radiation dose via region of interest (ROI) CT scans. The technique accurately locates the heart in both anteroposterior and lateral views, aiding targeted cardiac imaging.

Keywords:
CT scoutROI scanautomatic positioning methodheart positioning

More Related Videos

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

2.3K
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

3.7K

Related Experiment Videos

Last Updated: Apr 23, 2026

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
11:13

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Published on: May 24, 2021

8.4K
Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

2.3K
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

3.7K

Area of Science:

  • Medical Imaging
  • Radiology
  • Computational Anatomy

Background:

  • Computed tomography (CT) radiation dose reduction is critical for patient safety.
  • Region of interest (ROI) CT scans offer a method to minimize radiation exposure.
  • Accurate automatic heart positioning in scout images is a prerequisite for ROI cardiac CT.

Purpose of the Study:

  • To develop and validate a fully automatic method for heart positioning in both anteroposterior (A-P) and lateral CT scout images.
  • To enable precise localization of the heart for subsequent ROI CT scans, thereby reducing patient radiation dose.

Main Methods:

  • Heart positioning in A-P scout images involves identifying feature points and boundary segments.
  • Polar coordinate transformation and slant elliptic equation curve fitting are used to determine the complete heart boundary.
  • Top and bottom heart boundaries from A-P images are utilized for positioning in lateral scout images.

Main Results:

  • The proposed automatic heart positioning method was evaluated on a dataset of 30 clinical routine cases.
  • Successful and accurate heart positioning was achieved in 26 out of 30 cases (86.7%) for both A-P and lateral scout images.
  • The method demonstrated high efficacy in localizing the heart for potential ROI CT applications.

Conclusions:

  • The developed fully automatic heart positioning technique is effective for CT scout images.
  • This method shows significant potential for facilitating ROI CT scans of the heart.
  • Successful heart localization contributes to reduced radiation dose in cardiac CT imaging.