Database construction for small lung nodule using high-resolution three-dimension CT image

Y. Kozaki; Y. Kawata; N. Niki; H. Ohmatsu; M. Kusumoto; R. Kakinuma; K. Eguchi; M. Kaneko; N. Moriyama

doi:10.1117/12.770027

13 March 2008 Database construction for small lung nodule using high-resolution three-dimension CT image

Y. Kozaki, Y. Kawata, N. Niki, H. Ohmatsu, M. Kusumoto, R. Kakinuma, K. Eguchi, M. Kaneko, N. Moriyama

Proceedings Volume 6919, Medical Imaging 2008: PACS and Imaging Informatics; 691913 (2008) https://doi.org/10.1117/12.770027
Event: Medical Imaging, 2008, San Diego, California, United States

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.

Citation Download Citation

Y. Kozaki, Y. Kawata, N. Niki, H. Ohmatsu, M. Kusumoto, R. Kakinuma, K. Eguchi, M. Kaneko, and N. Moriyama "Database construction for small lung nodule using high-resolution three-dimension CT image", Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 691913 (13 March 2008); https://doi.org/10.1117/12.770027

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