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Proceedings Paper

Computer-aided diagnosis of pulmonary nodules based on shape analysis using thin-section CT images
Author(s): Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Ryutaro Kakinuma; Kenji Eguchi; Masahiro Kaneko; Noriyuki Moriyama
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Paper Abstract

Characterization of pulmonary nodules plays a significant role in the differential diagnosis of lung cancer. This paper presents a method to characterize the internal structure of small pulmonary nodules through curvature-based descriptor using thin-section CT images. The present work is a first step toward the segmentation of the 3D nodule images by using a 3D deformable surfaces approach. Second, 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.

Paper Details

Date Published: 24 June 1998
PDF: 11 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310833
Show Author Affiliations
Yoshiki Kawata, Univ. of Tokushima (Japan)
Noboru Niki, Univ. of Tokushima (Japan)
Hironobu Ohmatsu, National Cancer Ctr. Hospital East (Japan)
Ryutaro Kakinuma, National Cancer Ctr. Hospital East (Japan)
Kenji Eguchi, National Shikoku Cancer Ctr. Hospital (Japan)
Masahiro Kaneko, National Cancer Ctr. Hospital (Japan)
Noriyuki Moriyama, National Cancer Ctr. Hospital East (Japan)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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