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

542
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,...
542
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

7.6K
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...
7.6K

You might also read

Related Articles

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

Sort by
Same author

Time-Embedded Algorithm Unrolling for Computational MRI.

Advances in neural information processing systems·2026
Same author

Clinical Course and Predictors of Heart Failure in Asymptomatic Obstructive Hypertrophic Cardiomyopathy.

Journal of the American Heart Association·2026
Same author

Exercise-Induced Alterations in Lung Water Density in Heart Failure Using Single-Breath-Hold 3D Ultrashort Echo Time MRI.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Accuracy and Prognosis of Electrocardiographic and Echocardiographic Left Ventricular Hypertrophy in Brazilian Adults - ELSA-Brasil Study.

Arquivos brasileiros de cardiologia·2026
Same author

Spatiotemporal deep learning for scar screening in cardiovascular magnetic resonance: Toward selective use of gadolinium.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2026
Same author

Exercise cardiac magnetic resonance biventricular volumetric reserve in heart failure with preserved ejection fraction.

European journal of heart failure·2026

Related Experiment Video

Updated: May 7, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

16.7K

Localized spatio-temporal constraints for accelerated CMR perfusion.

Mehmet Akçakaya1, Tamer A Basha, Silvio Pflugi

  • 1Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Magnetic Resonance in Medicine
|October 15, 2013
PubMed
Summary

A new cardiac MRI (CMR) perfusion technique uses localized constraints for clearer images, even during free breathing. This method improves detection of myocardial ischemia in coronary artery disease patients.

Keywords:
cardiac perfusioncompressed sensingfree-breathing

More Related Videos

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
10:35

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

11.7K
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

Related Experiment Videos

Last Updated: May 7, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

16.7K
Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
10:35

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

11.7K
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

Area of Science:

  • Cardiovascular Imaging
  • Magnetic Resonance Imaging
  • Medical Image Reconstruction

Background:

  • Cardiac MRI (CMR) perfusion is vital for diagnosing myocardial ischemia in coronary artery disease.
  • Current techniques often rely on breath-holding for adequate spatial and temporal resolution.
  • Accelerated CMR perfusion imaging is crucial for improved patient tolerance and broader clinical application.

Purpose of the Study:

  • To develop and assess a novel image reconstruction technique for CMR perfusion utilizing localized spatio-temporal constraints.
  • To enable high-quality CMR perfusion imaging in free-breathing examinations.
  • To enhance the diagnostic accuracy of CMR perfusion for myocardial ischemia.

Main Methods:

  • A compressed sensing-based reconstruction technique was developed, employing local spatio-temporal constraints by regularizing image patches across limited dynamics.
  • The proposed method was compared against conventional dynamic-by-dynamic reconstruction, temporal principal-component (pc) basis sparsity regularization, and zero-filled reconstruction.
  • Image quality was evaluated using qualitative scores in 3D CMR perfusion datasets from patients and healthy subjects, and signal intensity curves were analyzed.

Main Results:

  • The novel technique yielded superior image quality, significantly reducing spatial and temporal blurring compared to existing methods, including in free-breathing datasets.
  • Quantitative image scores demonstrated a significant improvement for the proposed technique (2.8 ± 0.5) over x-pc regularization (2.3 ± 0.5), dynamic-by-dynamic (1.7 ± 0.5), and zero-filled reconstruction (1.1 ± 0.2).
  • Signal intensity curves from the proposed 3D acquisition showed comparable uptake dynamics to conventional breath-hold multislice 2D acquisition with parallel imaging.

Conclusions:

  • The developed reconstruction method effectively utilizes sparsity regularization grounded in localized spatial and temporal information.
  • This technique facilitates highly accelerated CMR perfusion imaging, offering significant potential for free-breathing 3D acquisitions.
  • The findings suggest a promising advancement for non-invasive assessment of myocardial perfusion and ischemia detection.