NDLI: Echocardiographic contour extraction with local and global priors through boosting and level sets

Content Provider	IEEE Xplore Digital Library
Author	Oktay, A.B. Akgul, Y.S.
Copyright Year	2009
Description	Author affiliation: Dept. of Comput. Eng., Gebze Inst. of Technol., Kocaeli, Turkey (Oktay, A.B.; Akgul, Y.S.)
Abstract	Extracting endocardium and epicardium from echocardiographic images is a challenging task because of large amounts of noise, signal drop-out, unrelated structures, and unseen wall parts. This paper introduces a new technique that automatically extracts cardiac borders by incorporating local and global priors through boosting and level set methods. The shape-based global prior is incorporated into the system by regularly re-initializing the level set surface under the influence of the expert detected contours. The local priors with image and temporal information are learned through boosting. The proposed system has many advantages. First, boosting encodes the knowledge about the image information and the temporal cardiac wall motion effectively by using spatiotemporal filters. Second, the local priors can use any features from the images including different filters and intensity profiles. Furthermore, other hard constraints like local shape, texture, distance, etc. can be added to local features effectively. The system is validated on echocardiograms and the results are found to be promising.
Starting Page	46
Ending Page	51
File Size	871587
Page Count	6
File Format	PDF
ISBN	9781424439942
ISSN	21607508
DOI	10.1109/CVPRW.2009.5204349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Computer vision Shape Level set Boosting Spatial filters Spatiotemporal phenomena Noise shaping Data mining Noise level
Content Type	Text
Resource Type	Article

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