A novel method for echocardiogram boundary detection using adaptive neuro-fuzzy systems

Sainarayanan, G. and N., Malmurugan and S., Chan (2008) A novel method for echocardiogram boundary detection using adaptive neuro-fuzzy systems. In: International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 13-15 December 2007, Sivakasi, Tamil Nadu.

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Echocardiogram is one of the effective diagnostics tool for cardiac investigations. Artifacts such as speckle, grating lobes, and shadowing in ultrasound images can hamper experts interpretation and impede automated analysis. This is because noise and artifacts cause edges to manifest themselves in different ways from the typical definition; hence they pose challenge to conventional edge detection and noise suppression methods. Thus, a method is proposed to resolve the ambiguous edge definitions in noisy echocardiogram by applying the Adaptive Neuro-Fuzzy Inference System (ANFIS) to determine edgeness based on local image characteristics that are defined by operators using local statistics. The performance of the proposed method is compared to that of a conventional edge detector and another similar method but without learning capability. © 2007 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Adaptive systems, Fuzzy inference, Medical imaging, Neural networks, Program diagnostics, Ultrasonics Adaptive Neuro-Fuzzy Inference System (ANFIS), Grating lobes, Noise suppression, Ultrasound images Echocardiography
Subjects: R Medicine > R Medicine (General) > R5-920 Medicine (General) > R855-855.5 Medical technology
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 06 Apr 2011 16:12
Last Modified: 06 Apr 2011 16:12
URI: http://eprints.ums.edu.my/id/eprint/2709

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