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Updated: Jun 26, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Published on: February 12, 2011
Semi-automatic detection of the left ventricular border
Maria do Carmo dos Reis1, Adson F da Rocha, Daniel F Vasconcelos
1Electrical Engineering Department, University of Brasília, DF 70910-900 Brazil. carminhamcr@yahoo.com.br
Abstract:
Two semi-automatic methods for the detection of the left ventricular border in two-dimensional short axis echocardiographic images are presented and compared. In these methods, the left ventricular area variation curve is calculated during a complete cardiac cycle after the segmentation of several frames. This allows the evaluation of the cardiovascular dynamics and the identification of important clinical parameters. The algorithms are proposed as several independent modules. The results are validated through the comparison between the semi-automatic continuous boundaries and manuals boundaries sketched by a medical specialist.

