Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules

Kazuhiro Minami; Yoshiki Kawata; Noboru Niki; Kiyoshi Mori; Hironobu Ohmatsu; Ryutaro Kakinuma; Kenji Eguchi; Masahiko Kusumoto; Masahiro Kaneko; Noriyuki Moriyama

doi:10.1117/12.431087

3 July 2001 Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules

Kazuhiro Minami, Yoshiki Kawata, Noboru Niki, Kiyoshi Mori, Hironobu Ohmatsu, Ryutaro Kakinuma, Kenji Eguchi, Masahiko Kusumoto, Masahiro Kaneko, Noriyuki Moriyama

Author Affiliations +

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431087
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

This paper presents a computerized classification scheme of pulmonary nodules in contrast enhanced dynamic CT images. Conventionally, we extracted 3D nodule images by using a deformable surface model. However, there was a limit in segmenting the 3D nodule images contacted with vessels and bronchi. In order to improve the segmentation accuracy of the 3D nodule images, we developed a software tool to eliminate the leaked region of the 3D nodule image due to vessels and bronchi interactively. Using our data set including 62 cases (27 benign and 35 malignant cases), we demonstrate how the segmentation accuracy affects the classification accuracy of our scheme.

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Kazuhiro Minami, Yoshiki Kawata, Noboru Niki, Kiyoshi Mori, Hironobu Ohmatsu, Ryutaro Kakinuma, Kenji Eguchi, Masahiko Kusumoto, Masahiro Kaneko, and Noriyuki Moriyama "Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431087

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