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系統識別號 U0026-2308201522383400
論文名稱(中文) 以腕部超音波影像偵測正中神經之三維動態軌跡
論文名稱(英文) Detection of 3D Kinetic Trajectory of Median Nerve by Ultrasound Image in the Wrist
校院名稱 成功大學
系所名稱(中) 資訊工程學系
系所名稱(英) Institute of Computer Science and Information Engineering
學年度 103
學期 2
出版年 104
研究生(中文) 鄭宇群
研究生(英文) Yu-Chen Chung
電子信箱 r12761276@hotmail.com
學號 P76024677
學位類別 碩士
語文別 英文
論文頁數 56頁
口試委員 指導教授-王士豪
口試委員-梁勝富
口試委員-高宏宇
口試委員-林奕勳
中文關鍵字 腕隧道症候群  正中神經  三維動態軌跡,腕部超音波 
英文關鍵字 carpal tunnel syndrome,median nerve  3D kinetic trajectory  wrist ultrasound 
學科別分類
中文摘要 腕隧道症侯群是一種源自於日常生活中手部運動造成對周邊神經長期壓迫所造成的疾病。根據病理學的研究顯示,在罹患腕隧道症候群患者的手腕滑膜結締組織中產生了纖維化現象,因此滑膜結締組織結構上的變化改變了正中神經的運動情形,所以先前研究曾測量對正中神經位移與手指運動的相互關係,並驗證其診斷腕隧道症候群檢測能力。然而過去研究都聚焦在正中神經於某個特定橫切面的運動情形,橫切面之間的相對位移資訊並從未被討論過。因此,本研究目的在於探索正中神經於不同橫切面的動態軌跡以及建構其三維動態軌跡,本研究以頻率12 MHz的超音波影像系統量測十一位無相關疾病歷史志願者的手腕,平均年齡為26.1±2.1歲,受測者須以手掌向上的姿勢將手伸出進行超音波掃描,掃描同時以個人電腦控制旋轉馬達帶動受測者手指彎曲,彎曲角度從0度到90度,掃描範圍為腕溝紋以下10 mm到19 mm間,影像使用適應性貝氏斑紋追蹤技術對正中神經影像進行動態追蹤,分析出動態軌跡。結果顯示正中神經在手指彎曲時會移往尺骨方向,其軌跡呈現S型趨勢(R2>0.95),而手指伸展時正中神經則在靠近身體時往橈骨方向移動,其移動軌跡呈現線性趨勢(R2>0.95),而在三維動態軌跡中,正中神經會往尺骨跟掌心方向移動,並在手指彎曲過程中維持線性分佈,沒有明顯的相對位移(R2>0.85)。本實驗利用頻率12 MHz 的超音波系統去觀察正中神經的運動情形與量化位於不同橫切面的動態軌跡,並利用正中神經於不同橫切面的相對位移,提供了一個可能被延伸應用的可行性方法。
英文摘要 Carpal tunnel syndrome (CTS) is a peripheral neuropathic disease caused by chronic compression from daily hand motions. In pathological studies, fibrosis of subsynovial connective tissue (SSCT) surrounding median nerve was found in wrist with CTS. Because of the change in kinematic of median nerve caused by abnormal SSCT, studies explored the correlation of displacement of median nerve during fingers motion and verified the capability of assessment. However, these studies focused on kinematic of median nerve in a specific transverse plane. Information of relative displacements between transverse planes have not been addressed in our knowledge. Thus, this study aimed to explore kinetic trajectories of median nerve in different transverse planes and construct 3D model of median nerve motion. Wrist measurements were performed on eleven asymptomatic volunteers in 26.1±2.1 years old with 12 MHz frequency ultrasound for kinetic trajectories of median nerve in transverse planes. Participants were asked to outstretch arms in supine position for scanning, which were performed from 10 mm to 29 mm after wrist crease. Scanning data was saved in PC for image tracking, which was implemented by Adaptive Bayesian Speckle Tracking. The results showed that median nerve moved toward ulnar direction during flexion of fingers in sigmoidal tendency (R2>0.95). The position of median nerve moved toward radial direction in linear tendency (R2>0.95) while scanning position moved proximally. In 3D kinetic trajectory, median nerve shifted to radial-palmar direction and maintained linear tendency during fingers motion without relative displacement (R2>0.85). This study utilized 12 MHz ultrasound to observe motion of median nerve and quantify the kinetic trajectory in different transverse planes, provided a feasible method which may be extensively applied to assess CTS in clinical diagnosis extensively.
論文目次 論文口試委員審定書(中文) I
論文口試委員審定書(英文) II
摘要 III
ABSTRACT IV
CONTENT V
LIST OF FIGURES VII
LIST OF TABLES VIII

CHAPTER 1 INTRODUCTION 1
1.1 General 1
1.2 Research background 2
1.3 Related research 3
1.3.1 Assessment methods of CTS in clinical 3
1.3.2 Application of CTS in Ultrasound image 4
1.4 Motivation and objective 7
CHAPTER 2 BACKGROUND 8
2.1 Fundamentals of ultrasound 8
2.1.1 Fundamentals of acoustic wave 8
2.2 Reflection and refraction 8
2.2.1 Attenuation and absorption 9
2.2.2 Ultrasonic transducers 11
2.3 Tracking technique 13
2.3.1 Feature-based template matching 13
2.3.2 Normalized cross correlation 14
2.3.3 Bayesian speckle tracking 14
2.4 Anatomical structure of carpal tunnel 17
CHAPTER 3 MATERIAL AND METHODS 20
3.1 Tracking technique 20
3.1.1 2D Bayesian Speckle Tracking 20
3.1.2 Adaptive Bayesian Speckle Tracking (ABST) 23
3.2 Verification of tracking technique 25
3.3 Wrist measurement with ultrasound 27
CHAPTER 4 RESULTS AND DISCUSSION 31
4.1 Algorithm verification with phantom 31
4.2 Displacement of median nerve in wrist measurement 34
4.2.1 Displacement in each transverse plane 34
4.2.2 3D motion of median nerve reconstruction 44
CHAPTER 5 CONCLUSION 50
5.1 Conclusion 50
5.2 Future work 50
REFERENCE 52

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