High-speed Detection Method of Solitary Nodules in 3D Chest CT images Based on Cylindrical Filter(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
スポンサーリンク
概要
- 論文の詳細を見る
A number of researchers have developed two-dimensional (2D) and three dimensional (3D) methods for detecting solitary nodules in chest computed tomography (CT) images. 3D methods are superior to 2D methods but require lengthy processing; therefore, reduction of computation time is desired. In the present study, we investigated a high-speed 3D method for detecting solitary nodules in chest CT images, employing a cylindrical filter kernel that outputs the difference in pixel value between the maximum value of a cylindrical kernel and the center pixel. Computation time is reduced because the cylindrical kernel can be replaced by a ring kernel in an MIP image. Experiments to evaluate detection performance and computation time revealed that this proposed method is five times faster than existing 3D methods, and results in no degradation in detection performance.
- 社団法人電子情報通信学会の論文
- 2009-01-12
著者
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Hara Takeshi
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Fujita Hiroshi
Department Of Cardiology Kyoto Second Red Cross Hospital
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Fujita H
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Tsuzaka Masatoshi
Department Of Radiological Technology School Of Health Sciences Nagoya University
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TERAMOTO Atsushi
Faculty of Radiological Technology, School of Health Sciences, Fujita Health University
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Hara Takeshi
Department Of Intelligent Image Information Graduate School Of Medicine Gifu University
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Teramoto Atsushi
Faculty Of Radiological Technology School Of Health Sciences Fujita Health University
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Hara Takeshi
Department Of Animal Resource Sciences Graduate School Of Agricultural And Life Sciences The Univers
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Fujita Hiroshi
Department Of Applied Physics Faculty Of Engineering University Of Tokyo
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