Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 12, 2026

3D Whole-heart Myocardial Tissue Analysis

3D Whole-heart Myocardial Tissue Analysis

Published on: April 12, 2017

Mitral annulus segmentation from 3D ultrasound using graph cuts.

Robert J Schneider¹, Douglas P Perrin, Nikolay V Vasilyev

¹Harvard School of Engineering and Applied Sciences, Cambridge, MA 02138, USA. rjschn@seas.harvard.edu

IEEE Transactions on Medical Imaging

|June 22, 2010

Summary

A new algorithm accurately segments the mitral valve annulus in 3D ultrasound, improving diagnostic and modeling applications. This operator-independent method matches expert accuracy for better cardiac assessments.

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

Tissue removal inside the beating heart using a robotically delivered metal MEMS tool.

The International journal of robotics research·2026

Same author

Annulus downsizing in valve-sparing aortic root replacement predicts aortic valve reoperation in children and young adults.

JTCVS open·2025

Same author

Novel size-adjustable pulmonary valve US early feasibility study: One-year outcomes.

The Journal of thoracic and cardiovascular surgery·2025

Same author

Atrioventricular Inflow and Subsequent Ventricular Growth After Staged Ventricular Recruitment for Unbalanced Atrioventricular Canal Defect.

The Annals of thoracic surgery·2025

Same author

Large scale causal modeling to identify adults at risk for combined and common variable immunodeficiencies.

NPJ digital medicine·2025

Same author

Image-based simulation of mitral valve dynamic closure including anisotropy.

Medical image analysis·2024

Area of Science:

Cardiovascular Imaging
Medical Image Analysis
Biomedical Engineering

Background:

Accurate mitral annulus segmentation is crucial for cardiac diagnostics and modeling.
Current methods for mitral annulus delineation are limited in accuracy and reproducibility.
The mitral valve annulus's 3D shape is vital for understanding cardiac function.

Purpose of the Study:

To develop and validate an operator-independent algorithm for mitral annulus segmentation in 3D ultrasound.
To assess the algorithm's accuracy compared to expert delineations in clinical and surgical settings.
To provide a reproducible tool for mitral annulus analysis in diagnostic and modeling applications.

Main Methods:

A novel algorithm segments the mitral annulus using a single user-specified point on closed mitral valves in 3D ultrasound.

Related Experiment Videos

Last Updated: Jun 12, 2026

3D Whole-heart Myocardial Tissue Analysis

3D Whole-heart Myocardial Tissue Analysis

Published on: April 12, 2017

The method constructs a surface at the leaflet location and identifies the annulus at the leaflet-to-wall junction.

Iterative convergence metrics ensure operator independence and segmentation refinement.

Main Results:

The algorithm achieved accuracy statistically indistinguishable from expert delineations on clinical ultrasound images (p=0.85).
Average RMS difference to expert average was 1.81+/-0.78 mm for clinical images.
Average RMS difference to electromagnetically tracked points on porcine hearts was 1.19+/-0.17 mm.

Conclusions:

The proposed algorithm provides accurate and reproducible mitral annulus segmentation in 3D ultrasound.
This method offers a valuable tool for enhancing diagnostic and modeling applications of mitral valve analysis.
The operator-independent nature of the algorithm ensures consistent results across different users and settings.