Robust B-spline snakes for ultrasound image segmentation

C. Tauber*, H. Batatia, G. Morin, A. Ayache

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

Segmenting echographic images is a difficult task due to their low contrast and to the presence of speckle. This paper presents an original robust B-Spline snake based on a novel external energy. Our approach combines anisotropic diffusion with the process of curve evolution by using a local coefficient of variation and the Tukey's error norm. This makes the snake robust to speckle. At each iteration the algorithm computes an edge image, and derives a new external energy based on the amplitude and direction of the gradient of the upper mentioned coefficient. The method has been tested on echocardographic images of a 12-week old foetus. The results, presented with different parameters, show a significant improvement.

Original languageEnglish
Title of host publicationComputers in Cardiology 2004
PublisherIEEE
Pages325-328
Number of pages4
ISBN (Print)0780389271
DOIs
Publication statusPublished - 11 Jul 2005
EventComputers in Cardiology 2004 - Chicago, United States
Duration: 19 Sept 200422 Sept 2004

Publication series

NameComputers in Cardiology
Volume31
ISSN (Print)0276-6574

Conference

ConferenceComputers in Cardiology 2004
Country/TerritoryUnited States
CityChicago
Period19/09/0422/09/04

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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