Peripleural lung disease detection based on multi-slice CT images

M. Matsuhiro; H. Suzuki; Y. Kawata; N. Niki; Y. Nakano; H. Ohmatsu; M. Kusumoto; T. Tsuchida; K. Eguchi; M. Kaneko

doi:10.1117/12.2081718

20 March 2015 Peripleural lung disease detection based on multi-slice CT images

M. Matsuhiro, H. Suzuki, Y. Kawata, N. Niki, Y. Nakano, H. Ohmatsu, M. Kusumoto, T. Tsuchida, K. Eguchi, M. Kaneko

Author Affiliations +

Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 94142W (2015) https://doi.org/10.1117/12.2081718
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

With the development of multi-slice CT technology, obtaining accurate 3D images of lung field in a short time become possible. To support that, a lot of image processing methods need to be developed. Detection peripleural lung disease is difficult due to its existence out of lung region, because lung extraction is often performed based on threshold processing. The proposed method uses thoracic inner region extracted by inner cavity of bone as well as air region, covers peripleural lung diseased cases such as lung nodule, calcification, pleural effusion and pleural plaque. We applied this method to 50 cases including 39 peripleural lung diseased cases. This method was able to detect 39 peripleural lung disease with 2.9 false positive per case.

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M. Matsuhiro, H. Suzuki, Y. Kawata, N. Niki, Y. Nakano, H. Ohmatsu, M. Kusumoto, T. Tsuchida, K. Eguchi, and M. Kaneko "Peripleural lung disease detection based on multi-slice CT images", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94142W (20 March 2015); https://doi.org/10.1117/12.2081718

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