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Proceedings Paper

Quantitative analysis for differential diagnosis of lung cancer on blood vessel connectivity using thoracic 3D CT images
Author(s): Akira Tanaka; Tetsuya Tozaki; Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Ryutaro Kakinuma; Masahiro Kaneko; Kenji Eguchi; Noriyuki Moriyama
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Paper Abstract

To diagnosis the lung cancer as to determine if it has malignant or benign nature, it is important to understand the spatial relationship among the abnormal nodule and other pulmonary organs. But the lung field has very complicated structure, so it is difficult to understand the connectivity of the pulmonary organs using Thin-section CT images. This method consists of two parts. The first is the classification of the pulmonary structure based on the anatomical information. The second is the quantitative analysis that is then applicable to differential diagnosis, such as differentiation of malignant or benign abnormal tissue.

Paper Details

Date Published: 20 April 2000
PDF: 8 pages
Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); doi: 10.1117/12.383388
Show Author Affiliations
Akira Tanaka, Univ. of Tokushima (Japan)
Tetsuya Tozaki, Kobe City College of Technology (Japan)
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)
Masahiro Kaneko, National Cancer Ctr. Hospital (Japan)
Kenji Eguchi, National Shikoku Cancer Ctr. Hospital (Japan)
Noriyuki Moriyama, National Cancer Ctr. Hospital East (Japan)

Published in SPIE Proceedings Vol. 3978:
Medical Imaging 2000: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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