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研究生：	謝博弈 Chia, Eric
論文名稱：	利用在位環形壓縮與光同調斷層掃描觀察糖尿病對神經內血管之影響 In situ Circular Compression and Doppler Optical Coherence Tomography Studies on Effects of Diabetic Mellitus on Vesa Nervonum of Sciatic Nerve
指導教授：	朱銘祥 Ju, Ming-Shaung
學位類別：	碩士 Master
系所名稱：	工學院 - 機械工程學系 Department of Mechanical Engineering
論文出版年：	2014
畢業學年度：	102
語文別：	英文
論文頁數：	78
中文關鍵詞：	糖尿病、周邊神經、滋養管、類線性粘彈性、多普勒光同調斷層掃描
外文關鍵詞：	diabetic mellitus, nerve tissue, vasa nervorum, quasi-linear viscoelasticity, Doppler optical coherence tomography
相關次數：	點閱：196 下載：3
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糖尿病是一種常見的疾病，並且會造成周邊神經病變，甚至死亡。因此本研究著重於觀察糖尿病對於神經以及其內部滋養管所造成的影響以及其生物力學特性。本研究應用多普勒光同調斷層掃描和在位環形壓縮來觀察正常以及糖尿病大鼠的坐骨神經被壓縮後，裡面的滋養管是否能舒張，並整合斷層掃描得到的形貌和環形壓縮得到的力量，藉由適當的力學模型來描述形貌變化和力量之間的關係。而環形壓縮得到的力量訊號，可以藉由馮院士的類線性粘彈性模型得到神經的材料參數。試驗結果顯示糖尿病神經的鬆弛時間較長，切線楊氏模數較低。而斷層掃描得到的影像證實糖尿病神經在鬆弛時間內，其內的滋養管無法擴張。本研究也提出應用薄殼理論來描述滋養管的力學特性，同時也觀察到血管有自動調節血管腔大小的能力。與正常神經相比，糖尿病神經的結構是相對的鬆散，而其內部的滋養管容易遭受破壞。這個現象或許可以解釋說糖尿病患者比一般人更容易患上腕隧道症候群，以及其他周邊神經受壓造成的神經損傷的疾病。

Diabetes mellitus is one of the most common diseases in the world and can cause many types of neuropathies, and even mortality. It is therefore important to understand how diabetes mellitus alters the mechanical properties of nerve tissues and their blood vessels. This study is to examine the dilatation of vasa nervorum inside the nerve trunk by using circular compression test and Doppler OCT, then proposes a biomechanical model to explain how vasa nervorum interact with the compression force and compare the simulated results with images captured by Doppler OCT. In this study, in situ compression-and-hold circular compression tests were applied to the sciatic nerves of both diabetic rats and normal rats. Doppler optical coherence tomography (Doppler OCT) was then utilized to monitor the configuration of the vasa nervorum in two groups of rats. The force data acquired in the compression tests were fitted by using Fung’s quasi-linear viscoelastic model (QLV) to determine the viscoelasticity of the nerves. The results show that the nerves in the diabetic group had a longer relaxation time but lower stress responses than those in the normal group. Consequently, the Doppler OCT observations reveal that in contrast to the normal vasa nervorum, the diabetic vasa nervorum did not dilate in the relaxation phase. This study also provides that the biomechanical properties of vasa nervorum may be described as shell model and confirms the autoregulatory responses of blood vessels. In summary, the diabetic nerve is friable and its vasa nerverom is fragile and may explain why the diabetic patients are more prone to carpal tunnel syndrome.

Abstract																  i 
Contents																  iv
Figure list															  vi
Table list																  viii

Chapter 1 Introduction														1
	1.1 Background														1
		1.1.1 Peripheral Nerve and Vesa nervorum Anatomy						2
		1.1.2 Diabetic Neuropathy											4
		1.1.3 Doppler Optical Coherence Tomography						   	5
		1.1.4 Biomechanics of Soft Tissues								    6
	1.2 Literature Review												   	7
	1.3 Motivation and Objectives										    9
Chapter 2 Material and Methods											   10
	2.1 In vivo Animal Experiments					   					   10
		2.1.1 Samples Preparation										   10
		2.1.2Apparatus Setup											   11
		2.1.3 Experimental Procedures									   13
	2.2 Doppler Optical Coherence Tomography								   15
	2.3 Biomechanical Properties of Nerve Tissues and Vesa nervorum			   16
		2.3.1 Biomechanical Properties of Nerve Tissues						   16
		2.3.2 Biomechanical Properties of Vesa nervorum					   17
			2.3.2.1 Plane Strain Assumption								   17
			2.3.2.2 Shell Mechanics Assumption							   20 
		2.3.3 Rough Estimation of Heart Rate from Doppler OCT Images		   22
	2.4 Morphology Analysis of Vesa nervorum								   23
Chapter 3 Results														   27
	3.1 Image and Data Analysis											   27
	3.2 QLV Analysis and Simulation Results								   44
		3.2.1 QLV Analysis of Normal Nerves and Diabetic Nerves				   44
		3.2.2 Biomechanical Simulation Results of Vesa Nervorum				   53
			3.2.2.1 Simulation Results under Plane Strain Assumption			   53
			3.2.2.2 Simulation of Buckling Vesa Nervorum					   55
Chapter 4 Discussion													   58
	4.1 Relationship between Vesa Nervorum Images 						   58
		and Stress Responses of Nerve Tissue
	4.2 Biomechanical Model Analysis of Vesa Nervorum						   60
	4.3 Comparison of QLV Parameters with Past Studies						   63
	4.4 Limitation of the experiments										   64
Chapter 5 Conclusions													   66
	Summary and Future Works											   66
Appendix A														   	   68
Appendix B															   71
References															   76

                                    

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