DocumentCode
2809648
Title
An active surface model for volumetric image segmentation
Author
El-Zehiry, Noha ; Elmaghraby, Adel
Author_Institution
Dept. of Comput. Eng. & Comput. Sci., Univ. of Louisville, Louisville, KY, USA
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
1358
Lastpage
1361
Abstract
In this paper, we introduce a graph cut based active surface model that incorporates graph cuts optimization tools with implicit surface representation to solve the segmentation problem. We will introduce a discrete formulation of the surface evolution problem, prove that the discrete energy function is graph representable and propose how to optimize it using graph cuts. The advantage of this model is two fold: First, Graph cuts are mostly global optimization tools which makes the model very robust and not sensitive to initialization, moreover, the dynamic labeling associated with graph cuts optimization tools makes the model very fast. Second, the implicit representation of the surface makes it robust to topology changes.
Keywords
image segmentation; medical image processing; active surface model; discrete energy function; graph cuts optimization; implicit surface representation; surface evolution problem; topology change; volumetric image segmentation; Biological system modeling; Computational modeling; Deformable models; Evolution (biology); Image segmentation; Labeling; Level set; Noise robustness; Terminology; Topology; Graph Cust; Surface Evolution; Volumetric Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193317
Filename
5193317
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