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

4.5K
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...
4.5K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

239
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...
239

You might also read

Related Articles

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

Sort by
Same author

Factors Affecting Contrast Enhancement on CT Images.

Radiographics : a review publication of the Radiological Society of North America, Inc·2026
Same author

Technical Note: Efficacy of CT spatial resolution metrics in clinical settings.

Medical physics·2026
Same author

Evaluation of a super-resolution deep learning reconstruction algorithm in abdominal CT imaging-A qualitative and quantitative performance analysis.

Journal of applied clinical medical physics·2026
Same author

Ability of Deep Learning Image Reconstruction to Preserve Detail and Remove Noise in Coronary Computed Tomography Angiography: A Clinical Analysis.

Journal of computer assisted tomography·2026
Same author

Performance of virtual unenhanced images on a prototype silicon photon counting detector CT: preliminary clinical results.

BMC biomedical engineering·2026
Same author

Crowd-sourcing optimized abdomen CT protocols from 908,000 examinations in a large radiation dose registry.

European radiology·2025

Related Experiment Video

Updated: Jun 29, 2025

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
09:32

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging

Published on: December 9, 2021

3.0K

Computed Tomography Angiography: Principles and Advances.

Timothy P Szczykutowicz1

  • 1University of Wisconsin Madison, 1005 WIMR, 1111 Highland Avenue, Madison, WI 53705, USA. Electronic address: https://twitter.com/Prof_TimStick.

Radiologic Clinics of North America
|March 29, 2024
PubMed
Summary
This summary is machine-generated.

This review covers advanced computed tomography (CT) technology for angiography, focusing on challenges from moving body parts. It details methods to improve contrast agent timing and reduce motion artifacts for clearer imaging.

Keywords:
CCTA acquisitionCT protocolCT technologyCardiac gatingComputed tomographyHeart rate adaptationProspective gatingRetrospective gating

More Related Videos

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
06:59

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

10.6K
Retrograde Perfusion and Filling of Mouse Coronary Vasculature as Preparation for Micro Computed Tomography Imaging
10:16

Retrograde Perfusion and Filling of Mouse Coronary Vasculature as Preparation for Micro Computed Tomography Imaging

Published on: February 10, 2012

32.5K

Related Experiment Videos

Last Updated: Jun 29, 2025

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
09:32

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging

Published on: December 9, 2021

3.0K
Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
06:59

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

10.6K
Retrograde Perfusion and Filling of Mouse Coronary Vasculature as Preparation for Micro Computed Tomography Imaging
10:16

Retrograde Perfusion and Filling of Mouse Coronary Vasculature as Preparation for Micro Computed Tomography Imaging

Published on: February 10, 2012

32.5K

Area of Science:

  • Medical Imaging
  • Radiology
  • Cardiovascular Imaging

Background:

  • Angiographic imaging presents unique physiological challenges due to the dynamic nature of blood flow and cardiovascular structures.
  • Accurate visualization of contrast agent dynamics is crucial for diagnosing vascular diseases.

Purpose of the Study:

  • To review state-of-the-art computed tomography (CT) technology for angiographic imaging.
  • To address challenges related to imaging contrast agent bolus transit in moving anatomical regions.
  • To present optimized strategies for contrast timing and motion reduction in CT angiography.

Main Methods:

  • Review of current computed tomography (CT) technological advancements relevant to angiography.
  • Analysis of physiological challenges in imaging contrast agent flow within moving structures.
  • Evaluation of techniques for contrast timing optimization and motion artifact mitigation.

Main Results:

  • Identification of key CT technologies enabling improved angiographic imaging.
  • Characterization of physiological hurdles, particularly contrast bolus tracking in dynamic environments.
  • Summary of current best practices for enhancing contrast timing accuracy and minimizing motion blur.

Conclusions:

  • Advanced CT technology is essential for overcoming physiological challenges in angiography.
  • Optimized contrast timing and motion reduction techniques are critical for diagnostic accuracy.
  • Continued technological development is needed to further refine CT angiography for complex vascular imaging.