DocumentCode :
2962853
Title :
Echocardiographic contour extraction with local and global priors through boosting and level sets
Author :
Oktay, A.B. ; Akgul, Yusuf Sinan
Author_Institution :
Dept. of Comput. Eng., Gebze Inst. of Technol., Kocaeli, Turkey
fYear :
2009
fDate :
20-25 June 2009
Firstpage :
46
Lastpage :
51
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.
Keywords :
echocardiography; feature extraction; medical image processing; boosting method; echocardiographic contour extraction; endocardium; epicardium; level set method; shape-based global prior; spatiotemporal filter; Boosting; Computer vision; Data mining; Image segmentation; Level set; Noise level; Noise shaping; Shape; Spatial filters; Spatiotemporal phenomena;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Conference_Location :
Miami, FL
ISSN :
2160-7508
Print_ISBN :
978-1-4244-3994-2
Type :
conf
DOI :
10.1109/CVPRW.2009.5204349
Filename :
5204349
Link To Document :
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