Paper Info
Title
Automatic Segmentation and Decision Making of Carotid Artery Ultrasound Images.
Abstract
Disease diagnostics based on medical imaging is getting popularity day after day. Presence of the arthrosclerosis is one of the causes of narrowing of carotid arteries which may block partially or fully blood flow into the brain. Serious brain strokes may occur due to such types of blockages in blood flow. Early detection of the plaque and taking precautionary steps in this regard may prevent from such type of serious strokes. In this paper, we present automatic image segmentation and decision making technique for carotid artery ultrasound images based on active contour approach. We have successfully applied the automatic segmentation of carotid artery ultrasound images using snake based model. Intima-media thickness (IMT) measurement is used to form a feature vector for classification. Five different features are extracted from IMT measured values. K-nearest neighbors (KNN) classifier is applied for classification of the images. Qualitative comparison of the proposed approach has been made with the manual initialization of snakes for carotid artery image segmentation. Decision is made based on the feature vector obtained from IMT values. Using the proposed approach we have obtained 98.30% classification accuracy. Our proposed approach successfully segment and classify the carotid artery images in an automated way to help radiologists. Obtained results show the effectiveness of the proposed approach.
Year
DOI
Venue
2012
10.1007/978-3-642-33932-5_18
INTELLIGENT AUTONOMOUS SYSTEMS 12 , VOL 2
Keywords
Field
DocType
Plaque detection,Snakes model,Image segmentation,IMT measurement,KNN classifier
Active contour model,Feature vector,Pattern recognition,Blood flow,Medical imaging,Computer science,Segmentation,Image segmentation,Artificial intelligence,Initialization,Classifier (linguistics)
Conference
Volume
ISSN
Citations 
194
2194-5357
2
PageRank 
References 
Authors
0.40
12
5
Name
Order
Citations
PageRank
Asmatullah Chaudhry1978.80
Mehdi Hassan2576.11
khan362344.09
Jin Young Kim449781.76
Tran Anh Tuan5213.58