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Curvature based analysis of pulmonary nodules using thin-section CT images

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8 Author(s)
Kawata, Y. ; Dept. of Opt. Sci., Tokushima Univ., Japan ; Niki, N. ; Ohmatsu, H. ; Kakinuma, R.
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Presents a method to characterize the internal structure of small pulmonary nodules through a curvature-based descriptor using thin-section CT images. The work is a first step toward the segmentation of the three-dimensional (3D) nodule images by using a 3D deformable surfaces approach. Secondly, a curvature-based representation of the pulmonary nodule is derived. Based on this representation, the pulmonary nodules are globally characterized through the shape spectra. This quantification emphasizes the difference between benign and malignant pulmonary nodules surroundings. Experiments on true 3D nodule images demonstrate good performance of our curvature based analysis technique

Published in:

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on  (Volume:1 )

Date of Conference:

16-20 Aug 1998