Method of Evaluation of Straine to Estimate the Dysfunction of Heart Chambers of Patients with Asd
Sakovich VV*, Zabrodskaya TE and Sadovsky MG
ABSTRACT
During the dynamic observation of patients with congenital heart defects, an accurate dynamic assessment of heart failure manifestations is necessary. The study aimed to calculate the index of longitudinal myocardial deformation in patients with atrial septal defect in the presence of significant interference (acoustic noise), for example, when examining young children, when the examination is conducted during active behavior, crying, and restlessness. We used the indices of longitudinal myocardial deformation to establish the presence and severity of cardiac chamber dysfunction. The study was conducted in groups of pediatric patients with isolated secondary central atrial septal defect (ASD). The study was conducted on a Philips iE33 device. The obtained data were analyzed using a set of deep learning neural network architectures designed for image segmentation. The study was conducted on the U-net architecture. As a result of processing the video stream, it was possible to solve the problem of automatic segmentation of the heart walls with reference to key points in the image. The data obtained allows us to judge the presence and degree of dysfunction of the heart chambers.
