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
Link To Document :
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