| Project/Area Number |
09650458
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
計測・制御工学
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| Research Institution | Tokyo University of Agriculture and Technology |
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Principal Investigator |
YAMADA Akira Tokyo University of Agriculture and Technology, Graduate School of Bio-Applications & Systems Engineering, Associate Professor, 大学院・生物システム応用科学研究科, 助教授 (20159213)
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| Project Period (FY) |
1997 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1998: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1997: ¥1,500,000 (Direct Cost: ¥1,500,000)
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| Keywords | Ultrasonic Computed Tomography / Noninvasive Thermometer / Acoustic Inverse Scattering Analysis / Tree-Dimensional Image / Quantitative CT / Weak Scattering Approximation / Diffraction Tomography / Thermography |
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| Research Abstract |
In this study, the inverse scattering quantitative CT technique was investigated aiming at the realization of the remote sensing noninvasive CT temperature measurement technique. The present technique utilizes the acoustic character of the temperature dependencies of the medium with the variation of the sound speed. That is, the temperature distribution of the objet was obtained from the reconstruction of the sound speed variation of the object from the known constant temperature state. The quasi 31) CT technique using the observation data around the perpendicular axis of the object, and the weak scattering linearization approximation method by the backward propagation Rytov transform were examined to meet the practical requirement encountered in the realization of the inverse scattering quantitative CT technique. As a result of the test examination, the dependencies between the measurement error of the received complex sound pressure amplitude assumed in the practical situation and the precision of the temperature image in the water medium was demonstrated using the simulation data. For the case when the resolution of the image was set with 5mm and the signal to noise ratio of the received signal was over 30 dB, the precision of the reconstructed temperature image was proved to be under 0.1 degree over the 10 degree temperature range. As a result, high speed and high precision noninvasive measurement technique of the 3D temperature distribution of the medium was developed, which promises well to the applications in the medical diagnosis or the industrial plant control.
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