Abstract

Heart disease is the foremost reason for death and also the main source of incapability in the developed nations. Mitral regurgitation is a typical heart disease that does not bring about manifestations until its end position. In view of the hidden etiologies of heart distress, functional MR can be partitioned into two subgroups, ischemic and no ischemic MR. A procedure is progressed for jet area separation and quantification in MR evaluation in arithmetical expressions. Thus, a strategy that depends on echocardiography recordings, image processing methods, and artificial intelligence could be useful for clinicians, particularly in marginal cases. In this research paper, MR segmentation is analyzed by the optimal histogram equalization system used to segment the jet area. For a better execution of the work, threshold in HE was improved with the help of the krill herd optimization strategy. With the MR quantification procedure, this segmented jet area was supported by the proximal isovelocity surface area ; in this procedure, a few parameters in the segmentation were evaluated. From the results, this proposed methodology accomplishes better accuracy in the segmented and quantification method in contrast with the existing examination.