Energy-Discriminating Gadolinium K-Edge X-ray Computed Tomography System
スポンサーリンク
概要
- 論文の詳細を見る
An energy-discriminating K-edge X-ray computed tomography (CT) system is useful for increasing the contrast resolution of a target region utilizing contrast media and for reducing the absorbed dose for patients. The CT system is of the first-generation type of detector using cadmium telluride (CdTe). CT is performed by repeated translations and rotations of an object. Penetrating X-ray photons from the object are detected by a CdTe detector, and event signals of X-ray photons are produced using charge-sensitive and shaping amplifiers. Both photon energy and energy width are selected out using a multichannel analyzer, and the number of photons is counted by a countercard. To perform energy discrimination, a low-dose-rate X-ray generator for photon counting was developed. Its maximum tube voltage and minimum tube current were 110 kV and 1 μA, respectively. In energy-discriminating CT, the tube voltage and tube current were 100 kV and 20 μA, respectively, and the X-ray intensity was 2.98 μGy/s at a distance of 1.0 m from the source and a tube voltage of 100 kV. The demonstration of enhanced gadolinium K-edge X-ray CT was carried out by selecting photons with energies just beyond the gadolinium K-edge energy of 50.3 keV.
- 2010-02-25
著者
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PURKHET Abderyim
Department of Computer Science Graduate School of Engineering Iwate University
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Sato Eiichi
Department Of Information And Electronics Engineering Niigata Institute Of Technology
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Jiro Nagao
The 3rd Department of Surgery, Toho University School of Medicine, 2-17-6 Ohashi, Meguro, Tokyo 153-8515, Japan
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Etsuro Tanaka
Department of Nutritional Science, Faculty of Applied Bio-science, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo 156-8502, Japan
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Hidezo Mori
Department of Physiology, Tokai University, School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan
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Toshiaki Kawai
Organization for Hamamatsu Technopolis, Head quarters of Hamamatsu Knowledge Cluster, 2-7-1 Higashiiba, Naka-ku, Hamamatsu 432-8036, Japan
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Akira Ogawa
Department of Neurosurgery, School of Medicine, Iwate Medical University, 19-1 Uchimaru, Morioka 020-8505, Japan
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Kiyomi Takahashi
Department of Microbiology, School of Medicine, Iwate Medical University, 19-1 Uchimaru, Morioka 020-8505, Japan
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Shigehiro Sato
Department of Microbiology, School of Medicine, Iwate Medical University, 19-1 Uchimaru, Morioka 020-8505, Japan
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Jun Onagawa
Department of Electronics, Faculty of Engineering, Tohoku Gakuin University, 1-13-1 Chuo, Tagajo, Miyagi 985-8537, Japan
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Katsuo AIzawa
Tokyo Medical University (Professor Emeritus), 6-1-1 Shinjuku, Shinjuku, Tokyo 160-8402, Japan
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Toshiyuki Enomoto
The 3rd Department of Surgery, Toho University School of Medicine, 2-17-6 Ohashi, Meguro, Tokyo 153-8515, Japan
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Hiroshi Matsukiyo
The 3rd Department of Surgery, Toho University School of Medicine, 2-17-6 Ohashi, Meguro, Tokyo 153-8515, Japan
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Matsukiyo Hiroshi
The 3rd Department of Surgery, Toho University School of Medicine, 2-17-6 Ohashi, Meguro, Tokyo 153-8515, Japan
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Watanabe Manabu
The 3rd Department of Surgery, Toho University School of Medicine, 2-17-6 Ohashi, Meguro, Tokyo 153-8515, Japan
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Akihiro Osawa
The 3rd Department of Surgery, Toho University School of Medicine, 2-17-6 Ohashi, Meguro, Tokyo 153-8515, Japan
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Keitaro Hitomi
Department of Electronics and Intelligent Systems, Tohoku Institute of Technology, 35-1 Yagiyama Kasumi-cho, Taihaku, Sendai 982-8577, Japan
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Toshiaki Kawai
Organization for Hamamatsu Technopolis, Headquarters of Hamamatsu Knowledge Cluster, 2-7-1 Higashiiba, Naka-ku, Hamamatsu 432-8036, Japan
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Manabu Watanabe
The 3rd Department of Surgery, Toho University School of Medicine, 2-17-6 Ohashi, Meguro, Tokyo 153-8515, Japan
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MATSUKIYO Hiroshi
The 3rd Department of Surgery, Toho University School of Medicine
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Kiyomi Takahashi
Department of Microbiology, School of Medicine, Iwate Medical University
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Sato Eiichi
Department of Anatomic Pathology, Tokyo Medical University
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