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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林啟萬 | zh_TW |
| dc.contributor.advisor | Chii-Wann Lin | en |
| dc.contributor.author | 林宗諺 | zh_TW |
| dc.contributor.author | Zong-Yan Lin | en |
| dc.date.accessioned | 2023-03-19T21:19:16Z | - |
| dc.date.available | 2023-12-26 | - |
| dc.date.copyright | 2022-08-02 | - |
| dc.date.issued | 2022 | - |
| dc.date.submitted | 2002-01-01 | - |
| dc.identifier.citation | 1.衛生福利部中央健康保險署主計室, 2019 年全民健康保險統計動向. 2021, 台灣. 61. 2.World Health Organization. Chronic obstructive pulmonary disease (COPD). [Internet] 2022; Available from: https://www.who.int/en/news-room/fact-sheets/detail/chronic-obstructive-pulmonary-disease-(copd). 3.郭明隆 and 顔兆熊, 慢性阻塞性肺病的臨床表現與診斷. 家庭醫學與基層醫療, 2010. 25(5): p. 171-174. 4.Seibert, J.A., X-ray imaging physics for nuclear medicine technologists. Part 1: Basic principles of x-ray production. Journal of nuclear medicine technology, 2004. 32(3): p. 139-147. 5.Halliwell, M., A tutorial on ultrasonic physics and imaging techniques. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2010. 224(2): p. 127-142. 6.Plewes, D.B. and W. Kucharczyk, Physics of MRI: a primer. Journal of magnetic resonance imaging, 2012. 35(5): p. 1038-1054. 7.Brown, B.H., Electrical impedance tomography (EIT): a review. Journal of Medical Engineering & Technology, 2003. 27(3): p. 97-108. 8.Henderson, R.P. and J.G. Webster, An impedance camera for spatially specific measurements of the thorax. IEEE Transactions on Biomedical Engineering, 1978(3): p. 250-254. 9.Swanson, D.K., MEASUREMENT ERRORS AND ORIGIN OF ELECTRICAL IMPEDANCE CHANGES IN THE LIMB. 1976: The University of Wisconsin-Madison. 10.Kim, Y.E., et al., Real-time identification of upper airway occlusion using electrical impedance tomography. Journal of Clinical Sleep Medicine, 2019. 15(4): p. 563-571. 11.Ayoub, G., et al., Feature extraction of upper airway dynamics during sleep apnea using electrical impedance tomography. Scientific Reports, 2020. 10(1): p. 1-10. 12.Silvera-Tawil, D., et al., Electrical impedance tomography for artificial sensitive robotic skin: A review. IEEE Sensors Journal, 2014. 15(4): p. 2001-2016. 13.Kato, Y., et al. Tactile sensor without wire and sensing element in the tactile region based on EIT method. in Sensors, 2007 Ieee. 2007. IEEE. 14.Huray, P.G., Maxwell's equations. 2011: John Wiley & Sons. 15.Monk, P., Finite element methods for Maxwell's equations. 2003: Oxford University Press. 16.Chen, L., et al., Multiple Fan-Beam Optical Tomography: Modelling Techniques. Sensors (Basel, Switzerland), 2009. 9: p. 8562-78. 17.Reddy, J.N., Introduction to the finite element method. 2019: McGraw-Hill Education. 18.何為, 電阻抗成像原理. 1 ed. 2009: 科學出版社. 270. 19.Harikumar, R., R. Prabu, and S. Raghavan, Electrical impedance tomography (EIT) and its medical applications: a review. Int. J. Soft Comput. Eng, 2013. 3(4): p. 193-198. 20.Bera, T.K. and J. Nagaraju, A chicken tissue phantom for studying an electrical impedance tomography (EIT) system suitable for clinical imaging. Sensing and Imaging: An International Journal, 2011. 12(3): p. 95-116. 21.Cheney, M., et al., NOSER: An algorithm for solving the inverse conductivity problem. International Journal of Imaging systems and technology, 1990. 2(2): p. 66-75. 22.Vauhkonen, M., et al., Tikhonov regularization and prior information in electrical impedance tomography. IEEE transactions on medical imaging, 1998. 17(2): p. 285-293. 23.Chung, E.T., T.F. Chan, and X.-C. Tai, Electrical impedance tomography using level set representation and total variational regularization. Journal of computational physics, 2005. 205(1): p. 357-372. 24.Borsic, A., et al., In vivo impedance imaging with total variation regularization. IEEE transactions on medical imaging, 2009. 29(1): p. 44-54. 25.Adler, A., et al., GREIT: a unified approach to 2D linear EIT reconstruction of lung images. Physiological measurement, 2009. 30(6): p. S35. 26.Hu, C.-L., et al., Dry Wearable Textile Electrodes for Portable Electrical Impedance Tomography. Sensors, 2021. 21(20): p. 6789. 27.Russo, S., et al., A quantitative evaluation of drive pattern selection for optimizing EIT-based stretchable sensors. Sensors, 2017. 17(9): p. 1999. 28.Dimas, C. and P.P. Sotiriadis. Electrical impedance tomography image reconstruction for adjacent and opposite strategy using FEMM and EIDORS simulation models. in 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST). 2018. IEEE. 29.Sheikh, H.R., M.F. Sabir, and A.C. Bovik, A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Transactions on image processing, 2006. 15(11): p. 3440-3451. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83818 | - |
| dc.description.abstract | 在現今已有許多成熟醫學影像的技術，如：X光、核磁共振(Magnetic Resonance Imaging, MRI)、超音波影像(Ultrasounnd)，但仍然沒有一項可以以低成本、動態即時的量測數據，協助醫生監測病人動態的身體狀況。電阻抗斷層掃瞄系統(Electrical Impedance Tomography, EIT)即是一種無輻射、低成本的醫學影像，其可以輔助醫生量測病人身體狀況，並達到低成本監測的效果，且比起目前醫療領域常見的醫學影像，更有潛力發展即時動態量測。本文使用電阻抗斷層掃描系統，其透過輸入電流量測電壓計算仿體阻抗，並分析組織分布，再經由演算法重建影像。本研究首先透過實驗觀察以壓克力材質的圓柱體當作待測物，並根據量測結果，驗證此實驗平台是否可以順利於導電液體中量測到物體及其位置變化，接著從量測到的電壓訊號切入，提出在人體實驗過程中動態量測待解決的問題及解決方案。 | zh_TW |
| dc.description.abstract | Nowadays, there are many mature technicians of medical image, such as X-ray, Magnetic Resonance Imaging(MRI), Ultrasound, but it is still hard to use the present medical image method for measuring data dynamically. Electrical Impedance Tomography(EIT) is a non-radiation, low-cost medical image, which can assist doctor to monitor physical conditions of patient. Compared to the present medical image, EIT has more potential to develop dynamic measurement. This study used electrical impedance tomography system which is designed by ITRI to analyze the distribution of impedance by measuring the voltage, and then reconstruct the image by algorithm. In this study, we used a cylindrical acrylic phantom filled with saline solution to demonstrate the EIT system validity. In addition, we proposed a new method to solve the problem about dynamic measurement in the process of human experiments. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T21:19:16Z (GMT). No. of bitstreams: 1 U0001-2001202216043200.pdf: 5703052 bytes, checksum: 0c3981c992f9c3d203c82dc459bff331 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 誌謝 I 摘要 II ABSTRACT III 圖目錄 VI 表目錄 VIII 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機與目的 2 1.3 章節架構 3 第二章 文獻回顧與基本原理 4 2.1 醫療影像技術 4 2.2 電阻抗斷層掃描技術發展 5 2.3 電阻抗斷層掃描（ELECTRICAL IMPEDANCE TOMOGRAPHY, EIT）的應用 6 2.3.1 電阻抗 8 2.4 電阻抗斷層掃描之概念與基本原理 9 2.4.1 正問題 10 2.4.2 逆問題 10 2.5 有限元素法 11 2.5.1 有限元素法（Finite Element Method, FEM）簡介 11 2.5.2 有限元素法之二維區域離散化 11 2.6 電阻抗斷層掃描成像原理 16 第三章 研究材料與方法 22 3.1 系統建構 22 3.1.1 EIT系統硬體 22 3.1.2 儀器架設方塊圖 27 3.2 軟體架構 28 3.3 影像驗證 37 3.4 仿體及容器 38 第四章 結果與討論 41 4.1 仿體實驗 41 4.1.1 標準差比較 45 4.1.2 Size error 49 4.1.3 Position error 53 4.2 肺部影像及誤差比較 54 4.3 仿體、肺部訊號及成像結果探討 58 第五章 結論及未來展望 59 第六章 參考資料 60 附錄EIDORS工具包安裝說明及程式碼 63 | - |
| dc.language.iso | zh_TW | - |
| dc.title | 電極訊號雜訊辨別及補償策略應用於可攜式電阻抗斷層掃描系統 | zh_TW |
| dc.title | Electrode Signal Noise Identification and Compensation Strategy for The Portable Electrical Impedance Tomography System | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 110-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 胡長霖 | zh_TW |
| dc.contributor.coadvisor | Chang-Lin Hu | en |
| dc.contributor.oralexamcommittee | 林致廷 | zh_TW |
| dc.contributor.oralexamcommittee | Chih-Ting Lin | en |
| dc.subject.keyword | 醫學影像X光,MRI核磁共振,超聲波影像,無輻射,低成本,動態即時,電阻抗成像系統(EIT), | zh_TW |
| dc.subject.keyword | X-ray,MRI,ultrasound,non-radiation,dynamic,electrical impedance tomography, | en |
| dc.relation.page | 63 | - |
| dc.identifier.doi | 10.6342/NTU202200119 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2022-07-29 | - |
| dc.contributor.author-college | 電機資訊學院 | - |
| dc.contributor.author-dept | 生醫電子與資訊學研究所 | - |
| 顯示於系所單位： | 生醫電子與資訊學研究所 | |
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|---|---|---|---|
| ntu-110-2.pdf 目前未授權公開取用 | 5.57 MB | Adobe PDF |
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