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A fully automatic vertebra segmentation method using 3D deformable fences
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Abstract
In this paper, we propose a fully automatic method for vertebra segmentation in the
CT volume data. The method constructs 3D fences that separate adjacent vertebrae from
valley-emphasized Gaussian images. Initial curves for the 3D fences are extracted
from intervertebral discs, detected with anatomical characteristics, then optimized
using a deformable model. A minimum cost path finding method corrects any erroneous
curves trapped into a local minimum. Final volume is labeled with help of the 3D fences
by a fence-limited region growing method. This method has been applied to 50-patient
data sets and has proved to be very successful.