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Journal of Imaging Informatics in Medicine

Published in:

01-12-2011

Medical Decision-Making System of Ultrasound Carotid Artery Intima–Media Thickness Using Neural Networks

Authors: N. Santhiyakumari, P. Rajendran, M. Madheswaran

Published in: Journal of Imaging Informatics in Medicine | Issue 6/2011

Abstract

The objective of this work is to develop and implement a medical decision-making system for an automated diagnosis and classification of ultrasound carotid artery images. The proposed method categorizes the subjects into normal, cerebrovascular, and cardiovascular diseases. Two contours are extracted for each and every preprocessed ultrasound carotid artery image. Two types of contour extraction techniques and multilayer back propagation network (MBPN) system have been developed for classifying carotid artery categories. The results obtained show that MBPN system provides higher classification efficiency, with minimum training and testing time. The outputs of decision support system are validated with medical expert to measure the actual efficiency. MBPN system with contour extraction algorithms and preprocessing scheme helps in developing medical decision-making system for ultrasound carotid artery images. It can be used as secondary observer in clinical decision making.

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Title: Medical Decision-Making System of Ultrasound Carotid Artery Intima–Media Thickness Using Neural Networks
Authors: N. Santhiyakumari
P. Rajendran
M. Madheswaran
Publication date: 01-12-2011
Publisher: Springer-Verlag
Published in: Journal of Imaging Informatics in Medicine / Issue 6/2011
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-010-9356-8

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Medical Decision-Making System of Ultrasound Carotid Artery Intima–Media Thickness Using Neural Networks

Abstract

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