NDLI: Corneal Endothelium Cell Field Analysis by means of Interacting Bayesian Shape Models

Content Provider	IEEE Xplore Digital Library
Author	Foracchia, M. Ruggeri, A.
Copyright Year	2007
Description	Author affiliation: Univ. of Padova & M2 Sci. Comput., Padova (Foracchia, M.; Ruggeri, A.)
Abstract	A new method is proposed for the automatic detection and analysis of cell field contours in images of corneal endothelium. The algorithm is based on a set of single-cell contour models (a cell field), individually described statistically in term of shape a-priori information and a- posteriori image representation. Each cell can be individually identified (Maximum A Posteriori estimation) on the available image given a starting point and an appropriate optimization algorithm. Simulated Annealing has been adopted as the optimization algorithm to overcome the presence of several local minima in the resulting criterion function. When a cell field is considered, interaction between cell models can be used to introduce further information and improve the overall model identification. A statistical description of the cell field model is given by considering interaction between cell models. Preliminary results show that the extension from single cell models to field models improves the cell contours recognition. The developed theoretical framework is extremely flexible and can be easily adapted to different prior distributions or even to different object detection applications involving shape prior information.
Starting Page	6035
Ending Page	6038
File Size	364816
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353724
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Shape Image segmentation Image analysis Microscopy Cornea Performance analysis Image processing Active contours Image representation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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