Feature-based classification and segmentation of mitral regurgitation echocardiography images quantification using PISA method
by Pinjari Abdul Khayum; R. Sudheer Babu
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 31, No. 4, 2019

Abstract: Echocardiography is the enormously admired scientific specification for the evaluation of valvular regurgitation and gives significant knowledge on the bareness of mitral regurgitation (MR). MR is a general heart disease which does not cause indications till its final phase. A technique is advanced for jet area separation and quantification in MR assessment in arithmetical expressions. Previous to this separation method count preprocessing and some attributes are mined from the record to arrangement method. From the cataloguing method, support vector machine (SVM) classifier developed to confidential echocardiogram images. Entire abnormal images to the modified region growing (MRG) separation method to segment jet area of MR. This segmented jet area in MR quantification process passed out with the support of proximal isovelocity surface area (PISA). This procedure is based on mass diverse limitations like blood flow rate, regurgitant fraction, EROA, etc. From the outcomes, this projected effort associated with the current method fuzzy with PISA quantification process, the projected work attained accuracy rate 99.05% in the study of jet area segmenting and quantification method.

Online publication date: Wed, 23-Oct-2019

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