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Proceedings Paper

Database construction for small lung nodule using high-resolution three-dimension CT image
Author(s): Y. Kozaki; Y. Kawata; N. Niki; H. Ohmatsu; M. Kusumoto; R. Kakinuma; K. Eguchi; M. Kaneko; N. Moriyama
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Paper Abstract

We have been advancing the study of method to quantitatively systematize nodules by conducting the statistical comparison survey of relation between image features and clinical pathological features, reason of postoperative recurrence and death. But necessary research data is huge, and because of this problem, the management and use of image information such as diagnostic information, image features is difficult. Nodule systematization using database is being proposed as the solution. We think that more efficient nodule schematization can be realized by managing, searching and comparing image information efficiently using database. In this paper, we describe nodule systematization using database and describe the construction of database as the core, and user interface which can be easily operated on GUI. We also describe operational result and evaluation, making it as the prototype.

Paper Details

Date Published: 13 March 2008
PDF: 8 pages
Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 691913 (13 March 2008); doi: 10.1117/12.770027
Show Author Affiliations
Y. Kozaki, The Univ. of Tokushima (Japan)
Y. Kawata, The Univ. of Tokushima (Japan)
N. Niki, The Univ. of Tokushima (Japan)
H. Ohmatsu, National Cancer Ctr. Hospital East (Japan)
M. Kusumoto, National Cancer Ctr. Hospital (Japan)
R. Kakinuma, National Cancer Ctr. (Japan)
K. Eguchi, Univ. of Teikyo (Japan)
M. Kaneko, National Cancer Ctr. Hospital (Japan)
N. Moriyama, National Cancer Ctr. (Japan)

Published in SPIE Proceedings Vol. 6919:
Medical Imaging 2008: PACS and Imaging Informatics
Katherine P. Andriole; Khan M. Siddiqui, Editor(s)

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