Share Email Print

Proceedings Paper

Computerized characterization of contrast enhancement patterns for classifying pulmonary nodules
Author(s): Kazuhiro Minami; Yoshiki Kawata; Noboru Niki; Kiyoshi Mori; Hironobu Ohmatsu; Ryutaro Kakinuma; Kenji Eguchi; Masahiko Kusumoto; Masahiro Kaneko; Noriyuki Moriyama
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 3 July 2001
PDF: 8 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431087
Show Author Affiliations
Kazuhiro Minami, Univ. of Tokushima (Japan)
Yoshiki Kawata, Univ. of Tokushima (Japan)
Noboru Niki, Univ. of Tokushima (Japan)
Kiyoshi Mori, National Tochigi Cancer Ctr. Hospital (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)
Masahiko Kusumoto, National Cancer Ctr. Hospital (Japan)
Masahiro Kaneko, National Cancer Ctr. Hospital (Japan)
Noriyuki Moriyama, National Cancer Ctr. Hospital East (Japan)

Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

© SPIE. Terms of Use
Back to Top