NDLI: Combining snakes and active shape models for segmenting the human left ventricle in echocardiographic images

Content Provider	IEEE Xplore Digital Library
Author	Hamarneh, G. Gustavsson, T.
Copyright Year	2000
Description	Author affiliation: Chalmers Univ. of Technol., Goteborg, Sweden (Hamarneh, G.)
Abstract	The authors propose a method for segmenting the human left ventricle (LV) in ultrasonic images, which is based on principles from both Active Shape Models (ASM) and Active Contour Models (ACM). Principal Component Analysis (PCA) is applied to a frequency-based shape representation of the LV thus eliminating the need for the difficult determination of corresponding landmarks. The average ventricular shape and the set of most significant shape variation modes are obtained from a training set. The LV boundaries in new images are found by placing an initial ACM (Snake) and allowing it to deform only according to the examined shape variations. A training set of 105 expert-segmented echocardiographic images was used. Improvements in the segmentation results were obtained especially in cases where the ventricular boundary was partly occluded by noise.
Starting Page	115
Ending Page	118
File Size	348185
Page Count	4
File Format	PDF
ISBN	0780365577
ISSN	02766547
DOI	10.1109/CIC.2000.898469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active shape model Humans Discrete cosine transforms Image segmentation Principal component analysis Active contours Heart Frequency Noise shaping Ultrasonic imaging
Content Type	Text
Resource Type	Article

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