Automatic construction of a statistic model of calcified aorta areas(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
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概要
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In this article, we report on automatic construction of a statistic model of calcified aorta areas. For the model construction, we developed a method for accurately detecting aorta areas and calcified ones from noncontrasted X-ray CT images. The proposed method firstly extracts the medial line of aorta in a given image by means of the active contour. Secondly the method extracts the wall of the aorta accurately by means of the Tensor Voting. Our method thirdly extracts calcified areas in the extracted aorta, and finally integrates the extracted areas in an aorta model.
- 2009-01-12
著者
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SHINOZAKI Hirotaka
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 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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Shinozaki Hirotaka
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 Tecnology
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Hontani Hidekata
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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