Fuzzy ultrasonic imaging system for visualizing brain surface and skull considering refraction (特集 医用システム)
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概要
- 論文の詳細を見る
Diagnostic imaging system is a necessity for brain diagnosis. Transcranial Ultrasonography can noninvasively image the intracranial blood flow and brain tissue in real time from only temple area of human head. However, the ultrasonic wave causes attenuation, decentration, and refraction in the skull, so the ultrasonography can not provide the transcranial brain surface image from arbitrary place. In this paper, we propose an imaging system of brain surface and skull from arbitrary places by considering the ultrasonic refraction of the skull. We do an experiment by using a cow scapula to imitate the skull bone and a biological phantom to imitate the cerebral sulcus. We first visualize the shape of scapula, and grasp the shape of scapula surface. We second remove the delay and the multi echoes of refracted wave. We third calculate the thickness of the scapula by using fuzzy inference. In the inference, we employ amplitude, correlation coefficient and the elapsed time. Finally, we calculate the refractive angle of ultrasonic wave and visualize the image referring to the refraction of ultrasonic wave. In the result of applying our method, we can estimate the thickness of scapula at all points, and successfully visualize the phantom surface image.
- 日本知能情報ファジィ学会の論文
- 2008-02-15
著者
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Kobashi S
Univ. Hyogo Himeji‐shi Jpn
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Yanagida Toshio
Osaka univ.
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KOBASHI Syoji
Graduate School of Engineering, University of Hyogo
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HATA Yutaka
Graduate School of Engineering, University of Hyogo
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KIMURA Masahiro
Graduate School of Engineering, University of Hyogo
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KONDO Katsuya
Graduate School of Engineering, University of Hyogo
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KITAMURA Yuri
Osaka University Graduate School of Frontier Biosciences
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Hata Y
Graduate School Of Engineering University Of Hyogo
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Hata Yutaka
Graduate School Of Engineering Himeji Institute Of Technology
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Kondo K
Graduate School Of Engineering University Of Hyogo
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Kondo K
The Faculty Of Science And Technology Keio University
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Kobashi Syoji
Graduate School Of Engineering Himeji Institute Of Technology
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Kondo Katsuya
Graduate School Of Engineering University Of Hyogo
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Yanagida Toshio
Osaka University Graduate School Of Frontier Biosciences
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Hata Y
Himeji Institute Of Technology Japan
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Kimura Masahiro
Graduate School Of Engineering University Of Hyogo
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