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Related Concept Videos

Mitral Stenosis II: Clinical features and Diagnostic Tests01:23

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Mitral stenosis is a heart condition in which the mitral valve, which allows blood to flow from the left atrium to the left ventricle, becomes narrowed or stenotic. This narrowing hinders blood flow and leads to clinical symptoms requiring specific medical evaluations and management strategies. The following overview outlines the clinical symptoms, assessments, diagnostic findings, prevention methods, and treatments for mitral stenosis.Clinical ManifestationsDyspnea (shortness of breath): This...
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Related Experiment Video

Updated: Mar 6, 2026

A Simplified Stepwise Approach to Echo Guidance during Percutaneous Mitral Valve Repair
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Mitral valve annulus localization in 3D echocardiography.

Abhishek Tiwari, Kedar A Patwardhan

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 9, 2017
    PubMed
    Summary

    This study introduces a semi-automated method for precisely measuring the Mitral Valve annulus using 3D echocardiography. This technique improves accuracy and efficiency in assessing heart valve conditions.

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    Area of Science:

    • Cardiovascular imaging
    • Medical image analysis
    • Computational anatomy

    Background:

    • The Mitral Valve is crucial for regulating blood flow in the heart.
    • Pathologies often involve structural changes, necessitating accurate quantification of cardiac structures like the Mitral Valve annulus.
    • Manual quantification of the Mitral Valve annulus from 3D echocardiography is time-consuming and subjective.

    Purpose of the Study:

    • To develop and validate a semi-automated method for Mitral Valve annulus quantification.
    • To improve the accuracy and efficiency of Mitral Valve annulus measurement from 3D echocardiography.
    • To provide a reliable tool for assessing Mitral Valve pathology.

    Main Methods:

    • A semi-automated approach using maximum-a-posteriori estimation.
    • Integration of a simple analytic shape model with a Naïve Bayes classifier.
    • Utilized three-dimensional echocardiography images for analysis.

    Main Results:

    • The developed method achieved an average localization error of ≤ 2.59 mm.
    • Validation was performed against manual annotations on over 15 patient cases.
    • Demonstrated a significant improvement over traditional manual quantification methods.

    Conclusions:

    • The semi-automated method offers accurate and efficient quantification of the Mitral Valve annulus.
    • This approach has the potential to enhance clinical assessment of Mitral Valve diseases.
    • The technique provides a valuable tool for both research and clinical practice in cardiology.