Cart (Loading....) | Create Account
Close category search window

P3A-5 3D Segmentation of the Heart Muscle in Real-Time 3D Echocardiographic Sequences Using Image Statistics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Nillesen, M.M. ; Clinical Phys. Lab., Radboud Univ. Nijmegen Med. Centre ; Lopata, R.G.P. ; Gerrits, I.H. ; Kapusta, L.
more authors

A fully automated segmentation of the endocardial surface was developed by integrating spatio-temporal information of 3D ultrasound image sequences. 3D echocardiographic image sequences of the left ventricle of five healthy children were obtained in transthoracic short/long axis view. 2D and 3D (adaptive) filtering was used to reduce speckle noise and optimize the distinction between blood and myocardium, while preserving sharpness of edges between various structures. Four different filters (2D adaptive mean, 2D and 3D adaptive mean squares filter and 2D local entropy) were tested. The filter kernel was related to speckle size to yield statistically robust data. Filter quality was measured by comparing overlap percentages of histograms of manually segmented blood and myocardial regions. ROC curves of manually segmented blood regions were determined to compare effects of the different filters. A deformable contour algorithm was used, after automatic thresholding, to yield a closed contour of the endocardial border in each elevational plane. Each contour was optimized using contours of surrounding spatio-temporal planes as limiting condition to ensure spatio-temporal. The combination of adaptive filtering using image statistics and deformable contours has potential to segment the endocardial surface in 3D

Published in:

Ultrasonics Symposium, 2006. IEEE

Date of Conference:

2-6 Oct. 2006

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.