研究課題/領域番号 |
18F18060
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研究機関 | 千葉大学 |
研究代表者 |
武居 昌宏 千葉大学, 大学院工学研究院, 教授 (90277385)
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研究分担者 |
BAIDILLAH MARLIN 千葉大学, 大学院工学研究院, 外国人特別研究員
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研究期間 (年度) |
2018-04-25 – 2020-03-31
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キーワード | electrically / equivalent / phantom |
研究実績の概要 |
1.The electrically equivalent upper arm phantom of c-EIST to detect the 2D accumulation albumin distribution has been developed. 2.In order to reconstruct the albumin accumulation distribution, it is needed to eliminate the systematic error caused by the variant of unknown contact impedance. We proposed a novel method to compensate the volatile-distributed current as the systematic error due to variance of the unknown contact impedance. 3.The electrical spectroscopy imaging has been conducted by involving some healthy-volunteers. This is a part of clinical test studies, and the reconstructed image is evaluated to extract of adipose tissue segmentation and physiological condition change. The reconstructed image of electrical spectroscopy imaging are a spatio-temporal distribution.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The biomechanically phantom is not established yet. This is due to the difficulty to find the most optimum materials that suitable with the electrically equivalent phantom. However, in order to predict the biofluid mechanics phenomenon for establishing the Albumin Transport Model, we will evaluate with other alternative method the we will evaluate on the second year of research.
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今後の研究の推進方策 |
This year to implement of c-EIST for measurement of hydrodynamic properties of early and middle stage Lymphedema patients or normal volunteer with changing the physiological condition. Research plans are: 1.To simulate at macro scale of hydrodynamic properties of limb by using numerical simulation. 2.To analyze the c-EIST reconstructed images by using deep learning and stochastic phenomenon. 3.To develop the Albumin transport model as a results of deep learning analysis by using an artificial of differential pressure.
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