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2009
Springer

A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts

9 years 2 months ago
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segmentation framework of VBs in clinical CT images using the graph cuts method. The Matched filter is employed to detect the VB region automatically. In the graph cuts method, a VB (object) and surrounding organs (background) are represented using a gray level distribution models which are approximated by a linear combination of Gaussians (LCG) to better specify region borders between two classes (object and background). Initial segmentation based on the LCG models is then iteratively refined by using MGRF with analytically estimated potentials. In this step, the graph cuts is used as a global optimization algorithm to find the segmented data that minimize a certain energy function, which integrates the LCG model and the MGRF model. Validity was analyzed using ground truths of data sets (expert segmentation) and...
Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arno
Added 25 Jul 2010
Updated 25 Jul 2010
Type Conference
Year 2009
Where ISVC
Authors Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arnold, Aly A. Farag, Rachid Fahmi, Ping Xiang
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