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 Experiment Video

Updated: Jun 4, 2026

3D Whole-heart Myocardial Tissue Analysis
06:53

3D Whole-heart Myocardial Tissue Analysis

Published on: April 12, 2017

Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model.

L Cordero-Grande1, G Vegas-Sánchez-Ferrero, P Casaseca-de-la-Higuera

  • 1Laboratorio de Procesado de Imagen, Escuela Técnica Superior de Ingenieros de Telecomunicación, Campus Miguel Delibes s.n., 47011 Valladolid, Spain. lcorgra@lpi.tel.uva.es

Medical Image Analysis
|March 1, 2011
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Prognostic implications of pre- and post-procedural heart failure in patients undergoing aortic valve replacement.

The American journal of medicine·2026
Same author

Percutaneous closure of left ventricular puncture after thoracentesis.

REC, interventional cardiology·2025
Same author

Exploring the role of flow cytometry to assess endothelial cells in human sepsis: A systematic review.

Revista espanola de anestesiologia y reanimacion·2025
Same author

Audio Cough Analysis by Parametric Modelling of Weighted Spectrograms to Interpret the Output of Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Elevated Iliac Calcium Score as a Marker of Coronary Calcification and Overall Atherosclerotic Risk.

Annals of vascular surgery·2024
Same author

Ramipril After Transcatheter Aortic Valve Implantation in Patients Without Reduced Ejection Fraction: The RASTAVI Randomized Clinical Trial.

Journal of the American Heart Association·2024

This study introduces a novel stochastic deformable model for segmenting heart myocardium in MRI scans. The method accurately segments cardiac structures, aiding in the assessment of cardiac function in patients with Acute Myocardial Infarction.

Area of Science:

  • Medical Imaging and Image Analysis
  • Computational Biology
  • Cardiovascular Research

Background:

  • Accurate segmentation of the myocardium is crucial for assessing cardiac function.
  • Existing segmentation methods may lack robustness or require manual intervention.
  • Magnetic Resonance Imaging (MRI) provides detailed anatomical information of the heart.

Purpose of the Study:

  • To develop and validate a stochastic deformable model for unsupervised myocardium segmentation in cardiac MRI.
  • To improve the accuracy and robustness of cardiac segmentation for functional parameter derivation.
  • To evaluate the model's performance in patients with varying degrees of Acute Myocardial Infarction.

Main Methods:

  • A probabilistic optimization framework was employed, treating segmentation as a Markov Random Field problem.

More Related Videos

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

Related Experiment Videos

Last Updated: Jun 4, 2026

3D Whole-heart Myocardial Tissue Analysis
06:53

3D Whole-heart Myocardial Tissue Analysis

Published on: April 12, 2017

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

  • The model integrates temporal-spatial smoothness with intensity and gradient features using Maximum Likelihood estimation.
  • Left ventricle detection was performed using established image analysis tools prior to segmentation.

    • Main Results:

    • The proposed stochastic deformable model achieved robust and flexible myocardium segmentation.
    • Segmentation results were comparable to manual segmentations for derived cardiac function parameters.
    • The method was validated on a cohort of 43 patients with Acute Myocardial Infarction.

    Conclusions:

    • The developed model offers a promising approach for automated and accurate cardiac MRI segmentation.
    • This technique can aid in the quantitative assessment of cardiac function, particularly in the context of myocardial infarction.
    • The unsupervised nature of the method enhances its clinical applicability.