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9 March 2011 Classification algorithm of lung lobe for lung disease cases based on multislice CT images
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Matsuhiro, Y. Kawata, N. Niki, Y. Nakano, M. Mishima, H. Ohmatsu, T. Tsuchida, K. Eguchi, M. Kaneko, and N. Moriyama "Classification algorithm of lung lobe for lung disease cases based on multislice CT images", Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 796331 (9 March 2011); https://doi.org/10.1117/12.877997
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