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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Uzunbas, M.G. Soldea, O. Cetin, M. Unal, G. Ercil, A. Unay, D. Ekin, A. Firat, Z. |
| Copyright Year | 2009 |
| Description | Author affiliation: The Radiology Department of the Yeditepe University Hospital, Istanbul, Turkey (Firat, Z.) || The Video Processing and Analysis Group, Philips Research Europe, Eindhoven, The Netherlands (Unay, D.; Ekin, A.) || Faculty of Engineering and Natural Sciences, Sabanci University, Tuzla, 34956 ¿stanbul, Turkey (Uzunbas, M.G.; Soldea, O.; Cetin, M.; Unal, G.; Ercil, A.) |
| Abstract | We present a new active contour-based, statistical method for simultaneous volumetric segmentation of multiple subcortical structures in the brain. Neighboring anatomical structures in the human brain exhibit co-dependencies which can aid in segmentation, if properly analyzed and modeled. Motivated by this observation, we formulate the segmentation problem as a maximum a posteriori estimation problem, in which we incorporate statistical prior models on the shapes and inter-shape (relative) poses of the structures of interest. This provides a principled mechanism to bring high level information about the shapes and the relationships of anatomical structures into the segmentation problem. For learning the prior densities based on training data, we use a nonparametric multivariate kernel density estimation framework. We combine these priors with data in a variational framework, and develop an active contour-based iterative segmentation algorithm. We test our method on the problem of volumetric segmentation of basal ganglia structures in magnetic resonance (MR) images and present a quantitative performance analysis. We compare our technique with existing methods and demonstrate the improvements it provides in terms of segmentation accuracy. |
| Starting Page | 29 |
| Ending Page | 32 |
| File Size | 613406 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439317 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2009.5192975 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Basal ganglia Shape Image segmentation Anatomical structure Statistical analysis Humans Brain modeling Maximum a posteriori estimation Training data Kernel basal ganglia Volumetric segmentation active contours shape prior kernel density estimation moments MR imagery |
| Content Type | Text |
| Resource Type | Article |
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