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Automatic detection of left ventricle in echocardiographic sequences using radial search and temporal smoothing

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Title Automatic detection of left ventricle in echocardiographic sequences using radial search and temporal smoothing
 
Creator BANSOD, PRASHANT
DESAI, UB
BURKULE, NITIN
 
Subject hough transforms
blood vessels
echocardiography
smoothing methods
medical image processing
 
Description We present a fully automatic method for obtaining an initial estimate of endocardial border in short axis echo cardiographic videos at two different levels of left ventricle (LV). The geometry of the acoustic window along with circular Hough transform and image statistics is used to robustly identify the region of interest, which encloses left ventricle, irrespective of image quality and level of left ventricle at which image was acquired. Again in the region of interest, left ventricle center point (LVCP) was identified by image statistics. The approximate LV border was detected by radial gradient search with magnitude as well as direction and then smoothing it locally and temporally. The results were validated by comparing computer generated boundaries to those manually outlined by one expert on ten data sets each containing 28 frames over full cardiac cycle. The mean error in the boundaries was plusmn2 mm. Directional radial gradient search along with temporal constraints from adjacent frames gives a better initial estimate of the LV boundary. The contour for each of the frame so obtained may serve a good initialization to optimize it by automated methods based on active contours.
 
Publisher IEEE
 
Date 2008-12-20T05:50:32Z
2011-11-28T00:43:24Z
2011-12-15T09:57:03Z
2008-12-20T05:50:32Z
2011-11-28T00:43:24Z
2011-12-15T09:57:03Z
2007
 
Type Article
 
Identifier Proceedings of the 15th International Conference on Digital Signal Processing, Cardiff, UK, 1-4 July 2007, 139-142
1-4244-0882-2
10.1109/ICDSP.2007.4288538
http://hdl.handle.net/10054/428
http://dspace.library.iitb.ac.in/xmlui/handle/10054/428
 
Language en