Title:	A METHOD FOR CARDIAC REGION SEGMENTATION ON ULTRASOUND IMAGES BASED ON PARTICLE FILTER ALGORITHM
Author(s):	Hyungseop Kim, Budi Sugandi, Joo Kooi Tan, Seiji Ishikawa
ISBN:	978-972-8939-74-8
Editors:	Yingcai Xiao
Year:	2012
Edition:	Single
Keywords:	Particle filter, Contour model, Likelihood model, Segmentation.
Type:	Short Paper
First Page:	157
Last Page:	162
Language:	English
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Paper Abstract:	This paper presents a contour segmentation of cardiac region on ultrasound images viewed as a tracking framework. We develop a tracking model for contour segmentation and estimate the image contour using particle filter algorithm. The tracking model is initialized by projecting equip spaced radii from center point of the contour to the tracking boundary. The motion of each particle on the radii is governed by a system model. The samples likelihood is measured based on the gradient intensity or edge of the contour. Then the estimated contour is measured based on the mean estimate of the samples likelihood. Our proposed method is implemented to the ultrasound images of a cardiac and the satisfactory results are achieved.
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