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Boundary Detection of Echocardiographic Images During Mitral Regurgitation

  • K. Chauhan
  • R. K. Chauhan
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 804)

Abstract

In case of significant Mitral Regurgitation (MR), left ventricle has to accommodate both the stroke volume and the regurgitant volume with each heart beat so it leads to volume overload of the left ventricle. The left ventricle dilates and becomes hyper-dynamic for compensation. The left atrial and pulmonary venous pressures increase sharply in case of acute severe MR, leading to pulmonary congestion and pulmonary edema. A gradual increase in left atrial size, by way of compliance, compensates in chronic MR, so that left atrial and pulmonary venous pressures do not increase until late in the course of the disease. An increase in after load, contractile dysfunction, and heart failure occur in case of progressive left ventricular dilation. This entails the detection of boundaries of heart’s chambers, for which two new models, viz. the Fast Region Active Contour Model (FRACM) and the Novel Selective Binary and Gaussian Filtering Regularized Level Set (NSBGFRLS) have been developed and presented in the chapter. The proposed models the FRACM and the NSBGFRLS are the much faster algorithms than the existing algorithms to detect the boundaries of the heart chambers. The performance of these two boundary detection models has been experimented and the results are tabulated, plotted and compared with the performance of other existing models which are also employed for boundary detection of echocardiographic images. The performance of the proposed models is superior as compared to other existing models. This has been demonstrated to the clinicians at PGIMER, Chandigarh, India.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringGalgotias College of Engineering and TechnologyGreater NoidaIndia

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