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Segmentation Methods for Severity Regurgitation: A Comparative Analysis

Author Affiliations

  • 1ECE Department, G. Pulla Reddy Engineering College, Kurnool, INDIA
  • 2 AU College of Engineering, Andhra University, Visakhapatnam, INDIA
  • 3JNTUA College of Engineering, Anantapur, AP, INDIA

Res. J. Recent Sci., Volume 3, Issue (6), Pages 83-89, June,2 (2014)


Today, an inclusive evaluation of valvular incompetence plays a significant role in clinical cardiology.Also, an accurate evaluation of Regurgitant Volume (RV) in cardiac patients with Valvular Regurgitation (VR) is crucial to analyze the progression of the disease, which can then decide the suitable time for surgical treatment or further treatment. Numerous techniques and algorithms have been developed for the assessment of Valvular Regurgitation. These techniques perform the assessment process with the aid of Proximal Isovelocity Surface Area (PISA), also called as Proximal Flow Convergence method (PFC). In these existing techniques, the VR and regurgitation severity are evaluated successfully. But, it is not sure that the performance of all these techniques is high in their regurgitation evaluation process. Thus, to evaluate the performance, a comparative analysis is required among the existing techniques. Hence, in this paper, a comparative analysis is performed for revealing the performance of three existing regurgitation techniques. Among these three techniques, the first one illustrates the quantification of mitral regurgitation by anisotropic diffusion segmentation via PFC method. While, the other two works demonstrates the severity of Mitral Regurgitation (MR) and Aortic Regurgitation (AR) by using the PISA method. The performance of the regurgitation methods are evaluated by the performance measures such as accuracy, specificity and sensitivity. Moreover, the performance of the aforementioned three works is compared with the other segmentation method in order to validate their efficiency in regurgitation assessment process.


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