Endocardium segmentation in 3D Transesophageal Echocardiography

Saurabh Vyas, Ryan Mukherjee, Federico Sosa, Philippe Burlina

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

1 Scopus citations


Segmentation of endocardial walls from 3D Transesophageal Echocardiography (3D TEE) is a critical step in helping characterize the pathophysiology of heart disease. The goal of this paper is (a) to present a new level set method based on the use of a novel inhibition function and (b) to asses its performance and that of other best of breed segmentation algorithms such as graph cuts and random walker as applied to 3D TEE segmentation. The method is tested on 14 sequences collected from 8 patients; it shows good agreement with the ground truth developed by physicians, and demonstrates similar (if not better) performance than current segmentation methods.

Original languageEnglish (US)
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Number of pages4
StatePublished - 2013
Externally publishedYes
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: Apr 7 2013Apr 11 2013

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452


Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/TerritoryUnited States
CitySan Francisco, CA


  • 3D echocardiography
  • Endocardial segmentation
  • Graph Cuts
  • Level Sets
  • Random Walker

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


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