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Quantitative surface characterization of pulmonary nodules based on thin-section CT images

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7 Author(s)
Y. Kawata ; Fac. of Eng., Tokushima Univ., Japan ; N. Niki ; H. Ohmatsu ; R. Kakinuma
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Characterization of pulmonary nodules plays a significant role in the differential diagnosis of lung cancer. This paper presents a method to quantify surface characteristics of small pulmonary nodules with well-defined surfaces based on thin-section CT images. The segmentation of the three-dimensional (3-D) nodule images are obtained by a 3-D deformable surfaces approach. The feature extraction algorithms are designed to quantify the surface characteristic parameters from 3-D nodule images by using surface curvatures and ridge lines. Experimental results of the authors' method, applied to patients 3-D nodule images, demonstrate its performance

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IEEE Transactions on Nuclear Science  (Volume:45 ,  Issue: 4 )