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Related Experiment Videos

Quantitative evaluation of left ventricle performance from two dimensional echo images.

J Manivannan1, M Ramasubba Reddy, S Thanikachalam

  • 1Biomedical Engineering Division, IIT MADRAS, Chennai, India.

Echocardiography (Mount Kisco, N.Y.)
|February 1, 2006
PubMed
Summary

Left ventricle systolic dysfunction can be assessed using the eccentricity ratio (ER) derived from 2D echocardiography. This geometric index, calculated via automated fuzzy logic, aids in evaluating cardiovascular disorders.

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Coronary injuries significantly impact left ventricle function, altering wall contractility and cavity shape.
  • Assessing left ventricle systolic dysfunction is crucial for understanding cardiovascular health.

Purpose of the Study:

  • To quantify left ventricle systolic dysfunction using a novel geometric index, the eccentricity ratio (ER).
  • To implement an automated fuzzy logic edge detection algorithm for precise left ventricle segmentation in 2D echocardiography.

Main Methods:

  • 2D echocardiograms were analyzed, extracting frames for segmentation using automated fuzzy systems.
  • The eccentricity ratio (ER) was calculated from segmented left ventricle images.
  • Standard metrics including endocardial fractional shortening (FS), midwall fractional shortening (mFS), and relative wall thickness (RWT) were also measured.

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Main Results:

  • Patients with left ventricle dysfunction showed significantly depressed FS, mFS, and RWT compared to controls.
  • The eccentricity ratio (ER) was significantly decreased in the dysfunction group at both end-diastole and end-systole.
  • ER demonstrated a more pronounced decrease at end-systole, highlighting its sensitivity to systolic dysfunction.

Conclusions:

  • The eccentricity ratio (ER) derived from 2D echocardiography is a viable geometric index for assessing regional and global left ventricle systolic dysfunction.
  • This method may contribute to improved diagnosis and management of cardiovascular disorders.