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Proceedings Paper

Classification algorithm of lung lobe for lung disease cases based on multislice CT images
Author(s): M. Matsuhiro; Y. Kawata; N. Niki; Y. Nakano; M. Mishima; H. Ohmatsu; T. Tsuchida; K. Eguchi; M. Kaneko; N. Moriyama
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Paper Abstract

With the development of multi-slice CT technology, to obtain an accurate 3D image of lung field in a short time is possible. To support that, a lot of image processing methods need to be developed. In clinical setting for diagnosis of lung cancer, it is important to study and analyse lung structure. Therefore, classification of lung lobe provides useful information for lung cancer analysis. In this report, we describe algorithm which classify lungs into lung lobes for lung disease cases from multi-slice CT images. The classification algorithm of lung lobes is efficiently carried out using information of lung blood vessel, bronchus, and interlobar fissure. Applying the classification algorithms to multi-slice CT images of 20 normal cases and 5 lung disease cases, we demonstrate the usefulness of the proposed algorithms.

Paper Details

Date Published: 9 March 2011
PDF: 6 pages
Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 796331 (9 March 2011); doi: 10.1117/12.877997
Show Author Affiliations
M. Matsuhiro, Univ. of Tokushima (Japan)
Y. Kawata, Univ. of Tokushima (Japan)
N. Niki, Univ. of Tokushima (Japan)
Y. Nakano, Shiga Univ. of Medical Science (Japan)
M. Mishima, Graduate School of Medicine Kyoto Univ. (Japan)
H. Ohmatsu, National Cancer Ctr. Hospital East (Japan)
T. Tsuchida, National Cancer Ctr. Hospital (Japan)
K. Eguchi, Teikyo Univ. (Japan)
M. Kaneko, National Cancer Ctr. Hospital (Japan)
N. Moriyama, National Cancer Research Ctr. for Cancer Prevention and Screening (Japan)


Published in SPIE Proceedings Vol. 7963:
Medical Imaging 2011: Computer-Aided Diagnosis
Ronald M. Summers; Bram van Ginneken, Editor(s)

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