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Proceedings Paper

Quantitative analysis of internal texture for classification of pulmonary nodules in three-dimensional thoracic images
Author(s): Yoshiki Kawata; Noboru Niki; Hironobu Omatsu; Masahiko Kusumoto; Ryutaro Kakinuma; Kiyoshi Mori; Hiroyuki Nishiyama; Kenji Eguchi; Masahiro Kaneko; Noriyuki Moriyama
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Paper Abstract

We are developing computerized feature extraction and classification methods to analyze malignant and benign pulmonary nodules in three-dimensional (3-D) thoracic images. This paper focuses on an approach for characterizing the internal texture which is one of important clues for differentiating between malignant and benign nodules. In this approach, each voxel was described in terms of shape index derived from curvatures on the voxel. The voxels inside the nodule were aggregated via shape histogram to quantify how much shape category was present in the nodule. Topological features were introduced to characterize the morphology of the cluster constructed from a set of voxels with the same shape category. The properties such as curvedness and CT density were also built into the representation. We evaluated the effectiveness of the topological and histogram features extracted from 3-D pulmonary nodules for classification of malignant and benign internal structures. We also compared the performance of the computerized classification with the experienced physicians. The classification performance based on the combined feature space reached the performance of the experienced physicians. Our results demonstrate the feasibility of using topological and histogram features for analyzing internal texture to assist physicians in making diagnostic decisions.

Paper Details

Date Published: 6 June 2000
PDF: 9 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387750
Show Author Affiliations
Yoshiki Kawata, Univ. of Tokushima (Japan)
Noboru Niki, Univ. of Tokushima (Japan)
Hironobu Omatsu, National Cancer Ctr. Hospital East (Japan)
Masahiko Kusumoto, National Cancer Ctr. Hospital (Japan)
Ryutaro Kakinuma, National Cancer Ctr. Hospital East (Japan)
Kiyoshi Mori, Togichi Cancer Ctr. (Japan)
Hiroyuki Nishiyama, Social Health Insurance Medical Ctr. (Japan)
Kenji Eguchi, National Shikoku Cancer Ctr. Hospital (Japan)
Masahiro Kaneko, National Cancer Ctr. Hospital (Japan)
Noriyuki Moriyama, National Cancer Ctr. Hospital (Japan)


Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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