ENDOCARDIAL SEGMENTATION IN CONTRAST ECHOCARDIOGRAPHY VIDEO WITH DENSITY BASED SPATIO-TEMPORAL CLUSTERING

Prashant Bansod, U. B. Desai, Nitin Burkule

Abstract

We present a spatio-temporal clustering algorithm for detection of endocardial contours in short axis (SAX) contrast echocardiographic image sequences. A semiautomatic method for segmentation of left ventricle in SAX videos is proposed which uses this algorithm and at the same time requires minimal expert intervention. Expert is required to specify a few candidate points belonging to the contour, only in the first frame of the sequence. The initial contour is approximated by fitting an ellipse in the region defined by the points specified. This region is identified as the principal cluster corresponding to the left ventriclular cavity. Later the density based clustering was applied for regularization on the inital contour. We have extended the DBSCAN algorithm for identification of the principal cluster corresponding to the left ventricle from the image. The algorithm also incorporates the temporal information from the adjacent frames during the segmentation process. The algorithm developed was applied to 10 data sets over full cardiac cycle and the results were validated by comparing computer generated boundaries to those manually outlined by one expert. The maximum error in the contours detected was ±2.9mm. The spatio-temporal clustering algorithm proposed in this paper offers an efficient semiautomatic segmentation of heart chambers in 2D contrast echocardiography sequences.

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Paper Citation


in Harvard Style

Bansod P., B. Desai U. and Burkule N. (2008). ENDOCARDIAL SEGMENTATION IN CONTRAST ECHOCARDIOGRAPHY VIDEO WITH DENSITY BASED SPATIO-TEMPORAL CLUSTERING . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 204-209. DOI: 10.5220/0001064102040209


in Bibtex Style

@conference{biosignals08,
author={Prashant Bansod and U. B. Desai and Nitin Burkule},
title={ENDOCARDIAL SEGMENTATION IN CONTRAST ECHOCARDIOGRAPHY VIDEO WITH DENSITY BASED SPATIO-TEMPORAL CLUSTERING},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={204-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001064102040209},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - ENDOCARDIAL SEGMENTATION IN CONTRAST ECHOCARDIOGRAPHY VIDEO WITH DENSITY BASED SPATIO-TEMPORAL CLUSTERING
SN - 978-989-8111-18-0
AU - Bansod P.
AU - B. Desai U.
AU - Burkule N.
PY - 2008
SP - 204
EP - 209
DO - 10.5220/0001064102040209