Watershed-presegmented snake for boundary detection and tracking of left ventricle in echocardiographic images

In this paper, an automated method of boundary detection of the left ventricle (LV) is proposed. The method uses a watershed transform and morphological operation to locate the region containing the LV, then performs snake deformation with a multiscale directional edge map for the detection of the e...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2006-04, Vol.10 (2), p.414-416
Hauptverfasser:	Jierong Cheng, Say Wei Foo, Krishnan, S.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Boundary detection Cardiac disease echocardiographic images Echocardiography Echocardiography - methods Heart Ventricles - diagnostic imaging Humans Image edge detection Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image segmentation Information Storage and Retrieval - methods Kernel morphological operation Morphological operations Pattern Recognition, Automated - methods Phase detection Pixel Reproducibility of Results Sensitivity and Specificity Smoothing methods snake Two dimensional displays Ventricular Dysfunction, Left - diagnostic imaging
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Beschreibung
Zusammenfassung:	In this paper, an automated method of boundary detection of the left ventricle (LV) is proposed. The method uses a watershed transform and morphological operation to locate the region containing the LV, then performs snake deformation with a multiscale directional edge map for the detection of the endocardial boundary of the LV
ISSN:	1089-7771 2168-2194 1558-0032 2168-2208
DOI:	10.1109/TITB.2005.859887