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

Spatial compounding of large numbers of multi-view 3D echocardiography images using feature consistency

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

4 Author(s)
Cheng Yao ; Div. of Imaging Sci., King''s Coll. London, London, UK ; Simpson, J.M. ; Schaeffter, T. ; Penney, G.P.

This paper presents a novel method for compounding large numbers of multi-view 3D echocardiography volumes based on feature consistency. Our proposed method directly addresses issues involved with reducing the effects of echocardiography artefacts in the final compounded volume. Quantitative validation experiments are carried out using an echocardiography heart phantom. Images are acquired through various intervening layers of soft-tissue and hard-tissue mimicking material. We use images acquired of the phantom with no intervening material as high-quality reference “gold-standard” images, and then investigate the effects of the introduced soft tissue and strongly reflecting boundaries images on image quality. Our compounding method is compared to the original, uncompounded, echocardiography images, and to images compounded using a published phase-based method. In addition we present qualitative results from a volunteer and a patient dataset. Results show the artefact has been detected and reduced, and a coherent compounded image is produced using large numbers of multi-view 3D volumes.

Published in:

Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on

Date of Conference:

14-17 April 2010

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.