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: May 15, 2026

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

Cardiac mechanical parameter calibration based on the unscented transform.

Stéphanie Marchesseau1, Hervé Delingette, Maxime Sermesant

  • 1Asclepios Research Project, INRIA Sophia Antipolis, France.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|January 5, 2013
PubMed
Summary
This summary is machine-generated.

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

Toward real-time alignment of 3D CT and 2D X-ray with multi-stage CNNs.

Computer assisted surgery (Abingdon, England)·2026
Same author

Integration of the arts and biomedical engineering in innovative interdisciplinary anatomy education: The synthetic anatomy module.

Anatomical sciences education·2026
Same author

Assessment of the Relevant Field of View of Unipolar Electrodes Using In Vivo Imaging.

JACC. Clinical electrophysiology·2026
Same author

MitraNav: Design and Modeling of a Robotic System for Transseptal Mitral Valve Replacement with Dock Catheter Task-Space Control.

Annals of biomedical engineering·2026
Same author

Study of French inter-expert variability in thyroid nodule ultrasound.

European thyroid journal·2026
Same author

Managing Adhesive Small Bowel Obstruction: Immediate Risks and Long-Term Burden in France.

Annals of surgery·2026
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

This study introduces an automatic method for calibrating patient-specific cardiac models, improving the accuracy of heart mechanics parameters. The novel approach enhances understanding of cardiac pathophysiology and therapy planning.

Area of Science:

  • Computational biology
  • Biomedical engineering
  • Cardiovascular research

Background:

  • Patient-specific cardiac modeling is crucial for understanding heart disease and planning treatments.
  • Personalizing cardiac models requires accurate geometry, kinematics, electrophysiology, and mechanics.
  • Model calibration provides essential global parameter values before regional personalization.

Purpose of the Study:

  • To propose an automatic calibration method for the mechanical parameters of the Bestel-Clément-Sorine (BCS) electromechanical heart model.
  • To utilize the Unscented Transform algorithm for efficient parameter optimization.
  • To identify significant observations for characterizing myocardial behavior through sensitivity analysis.

Main Methods:

  • Implemented an automatic calibration method using the Unscented Transform algorithm.

More Related Videos

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Related Experiment Videos

Last Updated: May 15, 2026

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

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

  • Performed sensitivity analysis to determine key parameters for myocardial behavior.
  • Optimized up to 7 mechanical parameters of the BCS model.
  • Main Results:

    • The automatic calibration method achieved satisfying results in a single iteration.
    • Sensitivity analysis identified significant observations for myocardial characterization.
    • The method demonstrated a mean relative error of 11% when evaluated on volunteers and heart failure patients.

    Conclusions:

    • The proposed automatic calibration method efficiently optimizes BCS model parameters.
    • This approach enhances the accuracy of patient-specific cardiac models.
    • The method shows potential for studying specific parameters related to cardiac pathologies.