Document Detail


Fast and fully automatic 3-d echocardiographic segmentation using B-spline explicit active surfaces: feasibility study and validation in a clinical setting.
MedLine Citation:
PMID:  23200179     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
A novel framework to efficiently deal with three-dimensional (3-D) segmentation of challenging inhomogeneous data in real-time has been recently introduced by the authors. However, the existing framework still relied on manual initialization, which prevented taking full advantage of the computational speed of the method. In the present article, an automatic initialization scheme adapted to 3-D, echocardiographic data is proposed. Moreover, a novel segmentation functional, which explicitly takes the darker appearance of the blood into account, is also introduced. The resulting automatic segmentation framework provides an efficient, fast and accurate solution for quantification of the main left ventricular volumetric indices used in clinical routine. In practice, the observed computation times are in the order of 1 s.
Authors:
Daniel Barbosa; Thomas Dietenbeck; Brecht Heyde; Helene Houle; Denis Friboulet; Jan D'hooge; Olivier Bernard
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Ultrasound in medicine & biology     Volume:  39     ISSN:  1879-291X     ISO Abbreviation:  Ultrasound Med Biol     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-12-03     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0410553     Medline TA:  Ultrasound Med Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  89-101     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.
Affiliation:
Lab on Cardiovascular Imaging and Dynamics, Katholieke Universiteit Leuven, Belgium; Université de Lyon, CREATIS, CNRS UMR5220, INSERM U630, Université Lyon 1, INSA-Lyon, France. Electronic address: daniel.barbosa@uzleuven.be.
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