False positive rejection for detecting tumors in lung area of FDG-PET/CT Image(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
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概要
- 論文の詳細を見る
In this paper, we propose a method that detects malignant tumors in a lung area of a given FDG-PET/CT image. Our method firstly extracts tumor candidates by binarizing the PET image, and then rejects false positives included in them. These false ones often include a part of the heart area because of its high FDG uptake. For this rejection, we constructed an eigenspace representation of FDG-PET images of normal lungs. Projecting the given image onto this eigenspace, we can suppress abnormal regions in the given image and hence reject the false positives in the candidates. Experimental results show that the proposed method reduces the number of false positives without missing the true ones.
- 社団法人電子情報通信学会の論文
- 2009-01-12
著者
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HONTANI Hidekata
Department of Computer Science and Engineering, Nagoya Institute of Tecnology
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TAKEDA Toru
Institute of Clinical Medicine, University of Tsukuba
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WATANABE Yoshihisa
Yamagata Saisei Hospital
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Takeda Toru
Institute Of Clinical Medicine University Of Tsukuba
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KANO Natsuki
Department of Computer Science and Engineering, Nagoya Institute of Technology
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Kano Natsuki
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Hontani Hidekata
Department Of Computer Science And Engineering Nagoya Institute Of Tecnology
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Hontani Hidekata
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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