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研究生: 賀沙洛
Hajari, Saurabh
論文名稱: 以數值方法分析病人顱內之未破裂大型動脈瘤模型在栓塞治療後的血液動力學變化
Numerical analysis of patient specific hemodynamic changes within giant unruptured and post embolization treatment intracranial aneurysm models
指導教授: 陳嘉元
Chen, Chia-Yuan
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: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 62
外文關鍵詞: Hemodynamic, Intracranial aneurysm, Embolization treatment, Wall shear stress
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  • An intracranial aneurysm is the abnormality of the artery where the enfeeble artery wall emerges into a large bulge like a balloon. As per the reports, 10 to 15 million people in the United States have and are expected to have an intracranial aneurysm. Delay in the treatment can lead to rupture of an aneurysm causing the internal bleeding (Subarachnoid hemorrhage) and as the consequences the sudden death can happen. The explicit etiology and pathology behind the initiation, growth, and rupture of an aneurysm have not been entirely understood. However, the hemodynamics in the human vascular system is considered as a dominant risk parameter. For the treatment of an aneurysm the endovascular coiling process seems to majorly favorable from decades. However, there are still plenty of possibilities of formation of the new aneurysm, atherosclerosis plaque, or vasospasm near the target site arteries. Subsequently, it is important to analyze the hemodynamic behavior changes within the before and post embolization treatment for a better understanding of forthcoming complications. The proposed study was conducted through the fluid-structure interaction based simulation within intracranial aneurysm of before and post embolization treatment 3D models to compare and understand the hemodynamic behaviors. The compliance of the elasticity of the arteries plays a significant role, therefore, for the numerical analysis the hyperelastic material (Mooney-Rivlin) was used for the better visualization and investigation of the hemodynamic characteristics. The acquired results illustrate that the blood flow within an aneurysm sac in the before embolization treatment model observed to be recirculating and helical as well as tend to remain for a longer time. On the other hand, due to the embolization treatment the blood flow within the model observed to be stronger throughout inferior to superior region of the inlet internal carotid artery and divided evenly through both anterior cerebral artery and middle cerebral artery outlets. In both models, the high wall shear stress of 26.2 Pa and wall shear stress gradient were observed at the neck of an aneurysm site which may lead to the initiation of another aneurysm or atherosclerosis plaque. The effective stress and pressure were observed to be higher at the apex and neck of an aneurysm which can lead to the wall remolding of an aneurysm. The proposed study can serve as the benchmark reference in the embolization treatment is not only option to overcome an aneurysm condition but also needs to understand the possible complications after the post embolization treatment.

    ABSTRACT I ACKNOWLEDGMENT III CONTENTS IV LIST OF TABLES VI LIST OF FIGURES VII CHAPER ONE INTRODUCTION 1 1.1 Research Background. 1 1.1.1 Intracranial aneurysm 2 1.1.2 Diagnosis and treatments for intracranial aneurysm 3 1.2 Research motivation 7 1.3 Research objectives 8 1.4 Thesis structure 9 CHAPTER TWO LITERATURE REVIEW 10 2.1 Hemodynamic role into intracranial aneurysmal dynamics 10 2.2 The relationship between high and low WSS 12 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 22 3.1 Reconstruction of the intracranial aneurysm model 22 3.2 Computational fluid dynamics analysis 24 3.2.1 Governing equations 24 3.2.2 Fluid properties 26 3.2.3 Fluid-structure interaction 26 3.2.4 Material Settings 28 3.2.5 Boundary conditions 30 3.2.6 Grid independence convergence analysis 32 3.3 Stress Analysis 33 3.3.1 Wall shear stress and wall shear stress gradient 35 3.3.2 Effective stress 37 3.3.3 Pressure analysis 41 CHAPTER FOUR RESEARCH RESULTS 43 4.1 Pressure distribution within the before and post embolization treatment models 44 4.2 Blood streamline visualization within before and post embolization treatment models 46 4.3 WSS distribution within before and post embolization model 49 4.4 The relationship between WSS and WSSG 52 4.5 Effective stress within the before embolization treatment model 53 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 55 5.1 Future work 56 REFERENCES 57

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