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

264
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...
264

You might also read

Related Articles

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

Sort by
Same author

Cardiac neural representations for ECG-guided slice-to-volume reconstruction.

Medical & biological engineering & computing·2026
Same author

Quantifying symmetry in mandibular condyle motion: a real-time MRI approach.

Journal of oral & facial pain and headache·2025
Same author

Sensor-free physiological guidance for free-breathing cardiac cine MRI using implicit neural representation CineJENSE reconstruction.

Physiological measurement·2025
Same author

Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning-based Stratification: A Multicenter Retrospective Study.

Radiology·2025
Same author

Monitoring the head exposure of MRI workers around 3 T, 7 T, and 11.7 T scanners using smart goggles equipped with a network of magnetometers.

Magnetic resonance in medicine·2025
Same author

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation.

Scientific data·2025

Related Experiment Video

Updated: Jan 10, 2026

Cardiac Magnetic Resonance Imaging at 7 Tesla
09:14

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

12.2K

Accelerated RAKI reconstruction for multi-slice cardiac cine applications.

Lucile Quillien1, Julien Oster1,2, Pierre-André Vuissoz1

  • 1IADI, INSERM U1254, Université de Lorraine, Nancy, France.

Medical Physics
|November 19, 2025
PubMed
Summary

Accelerated cardiac MRI reconstruction using a simplified deep learning method significantly reduces scan times. This novel approach maintains comparable image quality to existing techniques, making cardiac MRI exams faster and more efficient.

Keywords:
cardiac 2D cinedeep‐learning MRI reconstructionparallel imaging

More Related Videos

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

4.2K
Assessment of Cardiac Function and Myocardial Morphology Using Small Animal Look-locker Inversion Recovery SALLI MRI in Rats
08:41

Assessment of Cardiac Function and Myocardial Morphology Using Small Animal Look-locker Inversion Recovery SALLI MRI in Rats

Published on: July 19, 2013

13.1K

Related Experiment Videos

Last Updated: Jan 10, 2026

Cardiac Magnetic Resonance Imaging at 7 Tesla
09:14

Cardiac Magnetic Resonance Imaging at 7 Tesla

Published on: January 6, 2019

12.2K
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

4.2K
Assessment of Cardiac Function and Myocardial Morphology Using Small Animal Look-locker Inversion Recovery SALLI MRI in Rats
08:41

Assessment of Cardiac Function and Myocardial Morphology Using Small Animal Look-locker Inversion Recovery SALLI MRI in Rats

Published on: July 19, 2013

13.1K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence in Healthcare
  • Cardiovascular Imaging

Background:

  • Accelerated Magnetic Resonance Imaging (MRI) reconstruction is crucial for reducing lengthy cardiac scan durations.
  • Deep learning adaptations of k-space-based parallel imaging (PI), such as scan-specific robust artificial neural-networks for k-space interpolation (RAKI), offer nonlinearity but increase reconstruction time.
  • Scan-specific training in RAKI, while reducing database needs, impacts overall efficiency.

Purpose of the Study:

  • To adapt RAKI reconstruction for cardiac cine imaging by optimizing training strategies.
  • To leverage spatio-temporal redundancy for faster reconstructions.
  • To ensure maintained or improved image quality in accelerated cardiac MRI.

Main Methods:

  • Simplified the RAKI algorithm by removing nonlinear units and reducing convolutional layers for a GRAPPA-like reconstruction.
  • Accelerated RAKI training by focusing on specific slices and cardiac phases within the cine data.
  • Compared the proposed method against GRAPPA, RAKI, and rRAKI using image quality metrics (PSNR, NMSE, SSIM) and reconstruction time.

Main Results:

  • The proposed method achieved image quality comparable to state-of-the-art techniques.
  • Average reconstruction time was reduced by approximately 40% compared to GRAPPA, RAKI, and rRAKI.
  • Quantitative metrics demonstrated the efficiency and effectiveness of the accelerated reconstruction.

Conclusions:

  • The adapted RAKI method provides significantly faster cardiac MRI reconstructions with comparable image quality.
  • Minor "striping" artifacts were observed, potentially linked to the k-space optimization process.
  • This approach enhances the efficiency of cardiac cine MRI acquisition.