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 IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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,...
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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...

You might also read

Related Articles

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

Sort by
Same author

Synergistic fungal-enzymatic fermentation of corn straw enhances nutritional value, microbial stability, and bio-feed quality.

BMC microbiology·2026
Same author

Astrocytic frataxin deficiency drives neurocognitive impairment in sickle cell mice.

PNAS nexus·2026
Same author

Heme-mediated Tau phosphorylation drives neurocognitive responses in sickle cell disease.

Blood. Red cells & iron·2026
Same author

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

In vivo metabolic tagging and targeting of circulating red blood cells.

Nature communications·2026
Same author

Multimodal mass spectrometry imaging for plaque- and region-specific neurolipidomics in Alzheimer's disease mouse models.

Nature communications·2025

Related Experiment Video

Updated: Jun 18, 2026

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

Real-time cardiac MRI using prior spatial-spectral information.

Cornelius Brinegar1, Haosen Zhang, Yi-Jen L Wu

  • 1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1406 West Green Street, Urbana, IL 61801, USA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary

This study introduces a new method for real-time cardiac MRI, improving image quality during breathing. The technique enhances stability and reduces data needs for dynamic cardiac imaging.

More Related Videos

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Cardiac Magnetic Resonance Imaging at 7 Tesla
09:14

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

Related Experiment Videos

Last Updated: Jun 18, 2026

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

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Cardiac Magnetic Resonance Imaging at 7 Tesla
09:14

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Cardiovascular Research

Background:

  • Cardiac MRI typically uses non-real-time methods like ECG triggering and respiratory gating.
  • Real-time dynamic imaging in cardiac MRI is an emerging field.
  • Existing Partially Separable Function (PSF) models for dynamic imaging are sensitive to limited data, causing artifacts.

Purpose of the Study:

  • To develop a more stable and robust method for real-time cardiac MRI.
  • To address artifacts caused by limited data in dynamic cardiac imaging.
  • To reduce data acquisition requirements for cardiac MRI.

Main Methods:

  • Formulating dynamic imaging as a generalized Tikhonov regularization problem.
  • Incorporating a Partially Separable Function (PSF) model into the forward data model.
  • Utilizing a penalty function to integrate spatial-spectral prior information.

Main Results:

  • The new method demonstrates improved stability compared to the original PSF-based method.
  • Reduced data acquisition requirements were achieved.
  • Physiologically meaningless artifacts were mitigated in dynamic cardiac MRI.

Conclusions:

  • The generalized Tikhonov regularization approach with spatial-spectral priors offers a significant improvement for real-time cardiac MRI.
  • This method enhances image quality and stability, even with limited measurements.
  • It paves the way for more efficient and reliable dynamic cardiac imaging.