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EN
The changes in the shape of the left cardiac ventricle within full heart evolution cycle in norm and in pathology are described using a kinetic model programmed and verified on real clinical data. In the model, information is represented by the so-called shape coefficients. The time series of the shape coefficients as well as of differential and normalized shape coefficients of the left heart ventricle have been obtained experimentally. They are then analyzed using three different approaches: spectral analysis, direct analysis of shape coefficients and direct visualization of contractions. In each of those cases, the aim of the analysis is detection and recognition of various types of abnormalities, as well as evaluation of the distance between the detected pathology and the norm.
EN
A method of left cardiac ventricle's contractility abnormalities recognition and assessment, based on computer-aided analysis of sequences of ultrasonographic images is presented. The method is based on an analytical model of ventricle's shape time-variations during a single or several heart evolution cycles. An approach to ventricle's contractility abnormalities detection and evaluation based on a concept of spectral analysis of the shape coefficients' time-variations is proposed. The shape coefficients can be obtained by a computer-aided analysis of sequences of ultrasonographic cardiac images. The contraction process is characterized by spectral indicators: the contraction-depth ratio and the smoothness ratio. The results of preliminary testing of the method on clinical data are presented.
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