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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳永耀(Yung-Yaw Chen) | |
dc.contributor.author | Yu-Chien Chen | en |
dc.contributor.author | 陳有建 | zh_TW |
dc.date.accessioned | 2021-06-15T01:19:46Z | - |
dc.date.available | 2013-08-22 | |
dc.date.copyright | 2011-08-22 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-08-15 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42687 | - |
dc.description.abstract | 在近年的研究中,高能聚焦超音波被用於治療各種器官上的腫瘤,相較於其他治療方式,超音波熱治療有著非侵入式和低副作用的特性,當腫瘤細胞被加熱達攝氏43度C以上且持續100分鐘後,細胞的存活率將低於1%。而如果欲治療的腫瘤是會隨著呼吸而產生週期性往復運動的動態腫瘤如肺癌、肝癌時,這些運動會使超音波無法準確持續聚焦於患部上而造成治療效率降低,更嚴重甚至會傷害正常組織。因此,在進行超音波肝腫瘤治療時,為了必須準確地聚焦在欲治療的患部且避免在正常的組織給予過多的熱劑量,需要一個導引系統來控制超音波探頭的位置,並移動其聚焦點對隨呼吸運動的肝腫瘤加熱治療。
本論文建構以多重體外訊號即時導引高能聚焦超音波對肝腫瘤進行移動加熱的系統雛形,其中包含了以多重體外訊號來預測肝臟運動之方法,並以動物實驗來驗證其方法的可行性,在動物實驗裡得到估測肝臟移動的誤差均小於0.4 mm。此外,論文中也建立了一套控制超音波探頭移動的伺服平台,並以這個平台對仿體做移動加熱實驗來驗證這個控制平台的可靠度,並以仿體被加熱過後出現的損傷位置和形狀大小,來反映以多重體外訊號預測肝臟運動之誤差在實際加熱治療上可能出現的影響,實驗中得到了均小於1.4mm的仿體損傷位置誤差。相信此研究對於將來在臨床上能更精確地治療移動腫瘤有著一定程度的貢獻。 | zh_TW |
dc.description.abstract | As the research in recent years, High Intensity Focused Ultrasound (HIFU) is considered a promising technology for the treatment of tumors in broad variety of organs. Compared with other ways of treatment, the characteristic of HIFU treatment is non-invasive with low side-effect. An injury on normal tissue might happen due to the periodic motion of tumors induced by respiration during treatment. Because the movement of organs makes the HIFU system unable to focus on the target, heating treatment of liver tumor requires focus allocations in real time.
This study is developing a prototype of a real-time surrogated marker guidance system for liver tumor ablation by HIFU. The liver position is estimated by using the surrogated signals, and an animal experiment has verified the feasibility. The estimation error is less than 0.4mm in the animal experiment. In the other hand, a servo platform is designed to control the focal point of HIFU mechanically. A heating experiment has applied to demonstrate the feasibility of the servo platform and surrogated marker guidance system. The average errors of estimation have a linear relationship with the location errors of lesion. The location error of lesion is less than 1.4mm in the heating experiment. Our research can provide information towards the development of a precise treatment for mobile tumors. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T01:19:46Z (GMT). No. of bitstreams: 1 ntu-100-R98945028-1.pdf: 11996775 bytes, checksum: 2449c8cea15604e59a06c65223e8eab7 (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | 誌謝 i
中文摘要 ii Abstract iii Contents iv List of Figures viii List of Tables xvii Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 7 1.3 Thesis Overview 9 Chapter 2 Multiple Respiratory Surrogated Signals for Liver Motion Estimation 11 2.1 Characteristics of Liver Motion and Its Relationship with Respiratory Signals 11 2.2 Measurement and Sensing System 14 2.3 Correlation of Respiratory Surrogated Signals and Liver Motion 18 2.4 Liver Motion Estimation by Using Multiple Surrogated Signals 22 2.4.1 Linear Regression Analysis 22 2.4.2 Second Order Polynomial Regression Analysis 25 2.4.3 Ellipse Regression Analysis 28 2.4.4 Selection of Estimation Model 29 2.4.5 Liver Motion Estimation Approach 30 2.5 Summary 33 Chapter 3 In Vivo Liver Motion Measurement and Estimation 34 3.1 Setup of Animal Experiment 35 3.1.1 Application 35 3.1.2 Hardware Setup and Experiment Procedure 35 3.1.3 Operation 41 3.1.4 Data Measurement 42 3.2 Analysis and Results 43 3.2.1 Using Single Surrogated Signal for Liver Motion Estimation 49 3.2.2 Using Multiple Surrogated Signals for Liver Motion Estimation 53 3.2.3 Comparison of Single Signal and Multiple Signals for Liver Motion Estimation 54 3.2.4 Long-Time Liver Motion Estimation 55 3.3 Summary 56 Chapter 4 Design of Therapeutic System 58 4.1 Servo Platform 58 4.1.1 Setting of Linear-Scale 60 4.1.2 Setting of Servo Motor 66 4.1.3 Design of PID Controller 68 4.1.4 xPC Setup (Real Time Operating System) 72 4.1.5 Test of Servo Platform 77 4.2 High Intensity Focused Ultrasound (HIFU) System 80 4.2.1 HIFU Transducer Specification 83 4.2.2 Characteristics and Production of Color-Changeable Phantom 85 4.2.3 Test of HIFU System 88 4.3 Summary 90 Chapter 5 Heating Experiment and Results 91 5.1 Heating Experiment Setup 93 5.1.1 Phantom Test of Heating of Estimation by Displacement Estimation 95 5.1.2 Comparison of Fixed Heating and Heating of Estimation 97 5.2 Results 99 5.3 Summary 102 Chapter 6 Discussions and Conclusions 103 6.1 Conclusions 103 6.2 Discussions and Future Work 105 References 109 | |
dc.language.iso | en | |
dc.title | 利用呼吸替代訊號估測及追蹤肝腫瘤運動之方法 | zh_TW |
dc.title | Motion Estimation by Respiratory Surrogated Signals for Liver Tumor Tracking | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 林文澧(Win-Li Lin),何明志(Ming-Chih Ho) | |
dc.contributor.oralexamcommittee | 顏家鈺,連豐力 | |
dc.subject.keyword | 高能聚焦超音波,肝腫瘤治療,導引系統,仿體, | zh_TW |
dc.subject.keyword | HIFU,liver tumor treatment,guidance system,phantom, | en |
dc.relation.page | 112 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2011-08-16 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
顯示於系所單位: | 生醫電子與資訊學研究所 |
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