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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Bibliographic Details
Published inIEEE transactions on information technology in biomedicine Vol. 10; no. 2; pp. 414 - 416
Main Authors Jierong Cheng, Say Wei Foo, Krishnan, S.M.
Format Journal Article
LanguageEnglish
Published United States IEEE 01.04.2006
Subjects
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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Summary: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
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ISSN:1089-7771
1558-0032
DOI:10.1109/TITB.2005.859887