An efficient approach for quantification of aortic regurgitation using proximal isovelocity surface area method

Authors:
P. Abdul Khayum;P. V. Sridevi;M. N. Giriprasad
Affiliations:
Associate Professor and HOD ECE, Madina Engineering College, Kadapa, Andhra Pradesh, India;Associate Professor, Department of ECE, AU College of Engg, Andhra University, Visakha Patnam, Andhra Pradesh, India;Principal and Professor in ECE JNTU College of Engineering, Pulivendula, Kadapa Dist, Andhra Pradesh, India
Venue:
Pattern Recognition and Image Analysis
Year:
2010

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Abstract

The proximal isovelocity surface area measurement, also called as the "flow convergence" method, can be used in echocardiography to estimate the area of an orifice through which blood flows. It has a lot of applications, but this paper focuses only on its use in the quantitative evaluation of aortic regurgitation. Proximal isovelocity surface area has been anticipated as a quantitative method to evaluate the severity of aortic regurgitation, In this paper, we present an effective approach based on an Image processing techniques which can accurately quantify the effective regurgitates orifice area (EROA) in aortic regurgitation by using the Doppler Echocardiography image with the aid of proximal isovelocity surface area. In the pre-processing stage, the color Doppler echocardiography image with RGB color space has been subjected to Wiener filtering. Subsequently it has been quantized with the aid of color quantization by using NBS/ISCC color space, which has made the quantification of aortic regurgitation color Doppler echocardiography image more accurate. Moreover that, the proximal isovelocity surface area (PISA) method is employed for calculation of quantitative parameters such as effective regurgitant orifice (ERO), Regurgitant volume, Regurgitant Fraction and more of aortic regurgitation (AR). The proximal flow convergence method has been exploited to quantify valvular regurgitation by the analysis of the converging flow field proximal to assess the mildness, severity and eccentricity of an aortic regurgitant lesion. Experimental evaluation on the commonly accessible dataset illustrates the enhanced performance of the proposed effective approach for the quantification of aortic regurgitation.