脑血管病的血管数值模拟研究
发布时间：2018-09-11 10:24
【摘要】：背景：脑血管病是我国中老年人群的常见病、多发病，近年来呈上升和低龄化趋势，具有高发病率、高死亡率和高致残率特点，已成为一个重要的公共卫生问题。对于这种疾病临床医学对其病因、发病机制、临床表现、诊断、鉴别诊断、治疗、预后等以往认识已较深刻，但对其局部脑血管流体力学特征认识尚不清晰，影响对这些疾病的诊疗作出更深层次判断。计算流体力学（Computational Fluid Dynamics,CFD)能通过准确计算模拟脑血管的流体力学特征，图像直观明了，为医生深入认识脑血流状态提供很大帮助。但由于其跨专业性很少有医生认识并应用于临床，应用于脑血管病的研究较少，应用于脑血管病介入治疗的研究更少。 目的：探讨脑血管病局部脑血管的建模方法并开展数值模拟研究，提高医生对脑血管病的认识。 方法：选取怀疑有脑血管疾病并做全脑血管造影术老年患者100例，并在术中给予脑血管血压监测，术后使用MATLAB7.0对每条监测曲线进行函数拟合，通过推导建成具有广泛代表性的脑血管血压函数模型，并另选50例患者验证函数模型的可靠性。另选取做全脑血管造影术确诊的左侧颈内动脉巨大螺旋形梭状动脉瘤患者一例，女性，67岁，术中获得相关数据。术后使用MIMICS12.0,Geomagic Studio12和UGS NX8.0建模，并和传统建模方法比较，获得可靠的脑血管流固耦合模型建模方法。之后使用实验获得的脑血管血压函数模型和新的建模方法对一个左侧颈内动脉串联动脉瘤病例和一个脑栓塞Penumbra机械取栓成功病例进行有限元建模，并使用ANSYS14.0开展数值模拟研究。 结果:建成了具有广泛代表性的脑血管血压函数模型，，以复杂颅内动脉瘤为例获得了可靠的脑血管流固耦合模型的建模方法，左侧颈内动脉串联动脉瘤病例和脑栓塞Penumbra机械取栓病例的数值模拟研究均取得满意结果。 结论：联合使用MATLAB7.0, MIMICS12.0,Geomagic Studio12,UGS NX8.0和ANSYS14.0等软件能够开展常见脑血管病的数值模拟研究。有助于临床医师更加清楚认识患者脑血管的局部流体力学特征，作为一种研究方法值得今后继续探讨。
[Abstract]:Background: cerebrovascular disease (CVD) is a common disease in the middle-aged and elderly population in China. It has been an important public health problem with the characteristics of high morbidity, high mortality and high disability rate, with the trend of rising and low age in recent years. The etiology, pathogenesis, clinical manifestation, diagnosis, differential diagnosis, treatment and prognosis of this disease have been deeply recognized in clinical medicine, but the characteristics of local cerebrovascular hydrodynamics are not clear. Influence the diagnosis and treatment of these diseases to make a deeper judgment. Computational fluid dynamics (Computational Fluid Dynamics,CFD) can accurately calculate the hydrodynamic characteristics of simulated cerebral vessels, and the images are intuitionistic and clear, which provides a great help for doctors to understand the state of cerebral blood flow. However, because of its transprofessional nature few doctors know and apply it in clinic, less research on cerebrovascular disease and less on interventional therapy of cerebrovascular disease. Objective: to explore the modeling method of regional cerebrovascular disease and develop numerical simulation to improve doctors' understanding of cerebrovascular disease. Methods: 100 elderly patients with suspected cerebrovascular disease and all cerebral angiography were selected, and blood pressure was monitored during operation. MATLAB7.0 was used to fit each monitoring curve after operation. A widely representative cerebrovascular blood pressure function model was established and 50 patients were selected to verify the reliability of the function model. Another case of giant spiral spindle-shaped aneurysm of left internal carotid artery diagnosed by whole cerebral angiography was selected, female was 67 years old, and relevant data were obtained during operation. After operation, MIMICS12.0,Geomagic Studio12 and UGS NX8.0 were used and compared with the traditional modeling methods, a reliable modeling method of cerebrovascular fluid-solid coupling model was obtained. Then the blood pressure function model and the new modeling method were used to model a case of left internal carotid artery series aneurysm and a successful case of cerebral embolism (Penumbra) mechanical thrombectomy. The numerical simulation was carried out with ANSYS14.0. Results: a widely representative cerebrovascular blood pressure function model was established, and a reliable modeling method of fluid-solid coupling model was obtained by taking complex intracranial aneurysms as an example. The numerical simulation of left internal carotid artery aneurysm and cerebral embolism (Penumbra) was satisfactory. Conclusion: the numerical simulation of common cerebrovascular diseases can be carried out by using MATLAB7.0, MIMICS12.0,Geomagic Studio12,UGS NX8.0 and ANSYS14.0 software. It is helpful for clinicians to understand more clearly the characteristics of local fluid dynamics of patients' cerebral vessels. As a method of research, it is worth further discussing in the future.
【学位授予单位】：重庆医科大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：R743.3
本文编号：2236422
[Abstract]:Background: cerebrovascular disease (CVD) is a common disease in the middle-aged and elderly population in China. It has been an important public health problem with the characteristics of high morbidity, high mortality and high disability rate, with the trend of rising and low age in recent years. The etiology, pathogenesis, clinical manifestation, diagnosis, differential diagnosis, treatment and prognosis of this disease have been deeply recognized in clinical medicine, but the characteristics of local cerebrovascular hydrodynamics are not clear. Influence the diagnosis and treatment of these diseases to make a deeper judgment. Computational fluid dynamics (Computational Fluid Dynamics,CFD) can accurately calculate the hydrodynamic characteristics of simulated cerebral vessels, and the images are intuitionistic and clear, which provides a great help for doctors to understand the state of cerebral blood flow. However, because of its transprofessional nature few doctors know and apply it in clinic, less research on cerebrovascular disease and less on interventional therapy of cerebrovascular disease. Objective: to explore the modeling method of regional cerebrovascular disease and develop numerical simulation to improve doctors' understanding of cerebrovascular disease. Methods: 100 elderly patients with suspected cerebrovascular disease and all cerebral angiography were selected, and blood pressure was monitored during operation. MATLAB7.0 was used to fit each monitoring curve after operation. A widely representative cerebrovascular blood pressure function model was established and 50 patients were selected to verify the reliability of the function model. Another case of giant spiral spindle-shaped aneurysm of left internal carotid artery diagnosed by whole cerebral angiography was selected, female was 67 years old, and relevant data were obtained during operation. After operation, MIMICS12.0,Geomagic Studio12 and UGS NX8.0 were used and compared with the traditional modeling methods, a reliable modeling method of cerebrovascular fluid-solid coupling model was obtained. Then the blood pressure function model and the new modeling method were used to model a case of left internal carotid artery series aneurysm and a successful case of cerebral embolism (Penumbra) mechanical thrombectomy. The numerical simulation was carried out with ANSYS14.0. Results: a widely representative cerebrovascular blood pressure function model was established, and a reliable modeling method of fluid-solid coupling model was obtained by taking complex intracranial aneurysms as an example. The numerical simulation of left internal carotid artery aneurysm and cerebral embolism (Penumbra) was satisfactory. Conclusion: the numerical simulation of common cerebrovascular diseases can be carried out by using MATLAB7.0, MIMICS12.0,Geomagic Studio12,UGS NX8.0 and ANSYS14.0 software. It is helpful for clinicians to understand more clearly the characteristics of local fluid dynamics of patients' cerebral vessels. As a method of research, it is worth further discussing in the future.
【学位授予单位】：重庆医科大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：R743.3
【参考文献】
相关期刊论文 前1条
1 乔爱科;孟宪龙;付文宇;顾兆勇;;用于数值模拟的带支架个性化主动脉弓动脉瘤有限元模型的构建[J];北京工业大学学报;2011年03期
本文编号：2236422
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