基于CTA的椎动脉瘤血流动力学分析

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  摘  要: 分析椎动脉的动脉瘤血流动力学指标在动脉瘤发生、发展及治疗后的作用,判断引起动脉瘤发生与治疗后复发的特定血流动力学因素,并为动脉瘤的预防、治疗提供理论依据。选取一例颅内动脉瘤患者的CTA影像数据三维建模和仿真计算获取血流动力学指标:time average wall shear stress、time average wall shear stress grade、oscillatory shear index 、aneurysm formation index、relative retention time等参数作为观察指标分析。结果显示:1. 动脉瘤TAWSS及TAWSSG的不稳定,栓塞手术能够降低动脉瘤破裂的风险性,而在栓塞术后的血管交叉处,血管壁则较易受损;2. OSI值较高,改变瘤体内震荡水平导致血流紊乱,OSI值减低,血流趋于稳定;3. 随着动脉瘤AFI值逐渐升高,血液流动可逐渐平稳,可降低动脉瘤破裂危险性。
  关键词: 颅内动脉瘤;计算流体力学
  中图分类号: TP319    文献标识码: A    DOI:10.3969/j.issn.1003-6970.2020.08.028
  本文著录格式:刘芳,赵思淇,卢立彬,等. 基于CTA的椎动脉瘤血流动力学分析[J]. 软件,2020,41(08):97-102
  【Abstract】: To analyze the role of vertebral artery aneurysm parameters in the occurrence, development and post treatment of aneurysms,    to determine the specific Hemodynamics that cause the occurrence and recurrence of aneurysms after treatment, and to provide a theoretical basis for the prevention and treatment of aneurysms. Three-dimensional modeling and simulation of CTA images of a patient with cerebral aneurysm were used to obtain Hemodynamics parameters: Time average wall shear stress, time average wall shear stress, Oscillatory Shear Index, Eurasian SM Formation Index and relative retention time. 1. The instability of TAWSS and Tawssg, embolization can reduce the risk of aneurysm rupture, but the vessel wall is more vulnerable at the cross-section after embolization. 2. Osi Value is higher, changes in the level of turbulence in the tumor lead to blood flow disorder, Osi value is reduced, blood flow tends to be stable; 3. With the gradual increase of AFI, the blood flow could be stabilized and the risk of aneurysm rupture could be reduced.
  【Key words】: Cerebral aneurysm; Computational fluid dynamics
  0  引言
  顱内动脉瘤(Intracranial aneurysm,IA)是多种因素导致的动脉壁的异常瘤样扩张,常发生于颅内大动脉的分叉及弯曲处,破裂会导致蛛网膜下腔出血,具有极高的致死率及致残率。影响动脉瘤生长和破裂的因素主要包括先天生理性、病理性及血流动力学因素。对于IA的治疗主要包括开颅夹闭术及血管内介入栓塞两种方法[1-3]。无论是哪种方法,由于动脉瘤自身的复杂性及不完全闭塞的发生,即使是有经验的临床医生,术后的复发率依旧很高[4-7]。栓塞手术由于创伤小,操作相对简单等优势和栓塞材料及技术的不断发展进步逐渐被广泛应用于临床。但同时由于弹簧圈具有可压缩性使得动脉瘤复发的可能性大大增加,有研究表明栓塞程度是动动脉瘤复发的重要影响因素,Brzegowy等人回顾性分析破裂与未破裂前交动脉瘤的栓塞治疗,同样得出影响颅内动脉瘤复发的最大因素就是栓塞密度,初始栓塞的不完全极易引起动脉瘤的复发[8-9]。栓塞程度低,弹簧圈会随着血流的冲击逐渐压缩,进而向远侧移位、复发。赵庆平等提出瘤腔内的血流速度与瘤腔大小呈负相关,即栓塞程度越低,腔内血流速度加快时,血液对壁面产生的力就可能导致动脉瘤的复发[10]。近年来随着计算机的发展及有限元软件的开发,尤其是计算流体动力学数值模拟方法的应用,使得血流建模能更好解释血流动力学在IA发病机制中的作用[11-16]
  1  材料与方法
  原始影像数据采集:采集解放军第78集团军医院一椎动脉瘤患者CTA影像数据,男性患者,62岁,患者主诉头部持续头痛,临床表现为:行走不稳三个月。经临床诊断为头部椎最动脉瘤。经患者本人知情同意并签署意见书与医院伦理委员会批准。   图像后处理工作站:DELL图像向工作站:DELL 7810/CPU E5/16G内存/英伟达K2200显卡;
  图像后处理软件:医学交互式影像控制系统(Materialis’ Interative Medical Image Control System,MIMICS,比利时Materialise公司)、医学建模软件3-matic medical(比利时Materialis公司);
  计算机仿真软件:ANSYS 19.2:流体仿真软件CFX,网格划分软件FLUENT MESHING
  计算结果分析软件:ENSIGHT10.6。
  椎动脉瘤三维重建:将头部影像DICOM数据导入MIMICS软件,使用MIMICS分割工具:阈值分割等算法,最后三维计算生成动脉瘤三维初步模型以stl格式导入3-matic medical软件中,使用光顺表面、去除细小分支、切好出、入口平面,最后形成动脉瘤三维模型,如图1所示。
  网格划分:由于模型结构复杂,使用非结构化的四面体网格划分,为保证计算精度,在动脉瘤管壁进行五层加密。
  边界条件:本计算不考虑能量的传递,不考虑重力。血液密度为1056 kg/m3,动力粘度为0.0035 。计算采用瞬态计算,两个入口,两个出口,壁面无滑移。入口采用速度入口,出口采用压力出口。为保证尽快收敛,入口速度采用极小的速度差。出口采用压力出口,压力曲线如图3所示。
  血流作用在内皮细胞上的力的血流动力学参数GON,壁面切向和正交向上的向量,如果空间梯度G数值变化,代表对内皮细胞产生震荡张力和压缩力,在一个心动周期内,如果某个点发生较大的梯度变化,单位面积内发生强烈的震荡张力或者壓缩力作用于内皮细胞上,GON是用来量化震荡张力和压缩力的程度。
  CFX无法直接实现上述参数指标,使用CFX ccl语言编程,如下为子程序的部分内容:
  IBRARY:
   CEL:
   EXPRESSIONS:
  DOMAIN: FLUIDdom
   Coord Frame = Coord 0
   Domain Type = Fluid
   Location = Assembly
   BOUNDARY: INLET1
   Boundary Type = INLET
   Location = INLET1
   BOUNDARY CONDITIONS:
   ADDITIONAL VARIABLE: WSSField
   Option = Zero Flux
   END
   ADDITIONAL VARIABLE: WSSxF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSyF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSzF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   FLOW REGIME:
   Option = Subsonic
   END
   MASS AND MOMENTUM:
   Normal Speed = invel1
   Option = Normal Speed
   END
   END
   END
   BOUNDARY: INLET2
   Boundary Type = INLET
   Location = INLET2
   BOUNDARY CONDITIONS:
   ADDITIONAL VARIABLE: WSSField
   Option = Zero Flux
   END
   ADDITIONAL VARIABLE: WSSxF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSyF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSzF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   FLOW REGIME:
   Option = Subsonic
   END
   MASS AND MOMENTUM:
   Normal Speed = invel2
   Option = Normal Speed    END
   END
   END
   BOUNDARY: OUTLET1
   Boundary Type = OPENING
   Location = OUTLET1
   BOUNDARY CONDITIONS:
   ADDITIONAL VARIABLE: WSSField
   Option = Zero Flux
   END
   ADDITIONAL VARIABLE: WSSxF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSyF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSzF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   FLOW DIRECTION:
   Option = Normal to Boundary Condition
   END
   FLOW REGIME:
   Option = Subsonic
   END
   MASS AND MOMENTUM:
   Option = Opening Pressure and Direction
   Relative Pressure = OUTLET1f
   END
   END
   END
   BOUNDARY: OUTLET2
   Boundary Type = OPENING
   Location = OUTLET2
   BOUNDARY CONDITIONS:
   ADDITIONAL VARIABLE: WSSField
   Option = Zero Flux
   END
   ADDITIONAL VARIABLE: WSSxF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSyF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSzF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   FLOW DIRECTION:
   Option = Normal to Boundary Condition
   END
   FLOW REGIME:
   Option = Subsonic
   END
   MASS AND MOMENTUM:
   Option = Opening Pressure and Direction
   Relative Pressure = OUTLET2f
   END
   END
   END
   BOUNDARY: OUTLET3
   Boundary Type = OPENING
   Location = OUTLET3
   BOUNDARY CONDITIONS:
   ADDITIONAL VARIABLE: WSSField
   Option = Zero Flux
   END
   ADDITIONAL VARIABLE: WSSxF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSyF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSzF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   FLOW DIRECTION:
   Option = Normal to Boundary Condition
   END
   FLOW REGIME:
   Option = Subsonic    END
   MASS AND MOMENTUM:
   Option = Opening Pressure and Direction
   Relative Pressure = OUTLET3f
   END
   END
   END
   BOUNDARY: OUTLET4
   Boundary Type = OPENING
   Location = OUTLET4
   BOUNDARY CONDITIONS:
   ADDITIONAL VARIABLE: WSSField
   Option = Zero Flux
   END
   ADDITIONAL VARIABLE: WSSxF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSyF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSzF
   Additional Variable Value = 0 [kg m^-1 s^-2]
   Option = Value
   END
   FLOW DIRECTION:
   Option = Normal to Boundary Condition
   END
   FLOW REGIME:
   Option = Subsonic
   END
   MASS AND MOMENTUM:
   Option = Opening Pressure and Direction
   Relative Pressure = OUTLET4f
   END
   END
   END
   BOUNDARY: WALL_VESSEL
   Boundary Type = WALL
   Location = WALL_PARENT_VESSEL
   BOUNDARY CONDITIONS:
   ADDITIONAL VARIABLE: WSSField
   Additional Variable Value = WallShearMag
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSxF
   Additional Variable Value = Wall Shear X
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSyF
   Additional Variable Value = Wall Shear Y
   Option = Value
   END
   ADDITIONAL VARIABLE: WSSzF
   Additional Variable Value = Wall Shear Z
   Option = Value
   END
   MASS AND MOMENTUM:
   Option = No Slip Wall
   END
   END
   END
   DOMAIN MODELS:
   BUOYANCY MODEL:
   Option = Non Buoyant
   END
  2.2  TAWSS云圖分析
  从平均壁面切应力(TAWSS)的云图(图4)上来看,云图颜色越偏红,代表平均壁面切应力越大,越接近蓝色则平均壁面切应力越小。载瘤动脉由于其具有较高的流速,因此载瘤动脉的平均壁面切应力要大于动脉瘤。
  2.3  动脉瘤的TAWSSG云图分析
  从TAWSSG云图中(图5)可以看出,瘤体的TAWSSG开始时低于载瘤动脉,而后逐渐接近。可能是由于开始时动脉瘤体积较大[18-20],血液流速较慢,壁面切应力数值变化不变明显,所示动脉瘤偏蓝色,TAWSSG值较低。
  2.4  动脉瘤的OSI云图分析
  图6为动脉瘤OSI云图,在动脉瘤顶端存在小部分高OSI区域。动脉瘤顶端的高OSI区域较之前扩大,振荡剪切系数代表的是整个心动周期内壁面切应力方向变化快慢的量,OSI不同是反应震荡水平,即流动的强度和方向的改变,越大表示震荡越强,流体在周期内流动的方向不稳定,导致动脉瘤内的血流运动趋于紊乱。
  2.5  动脉瘤AFI云图分析
  图7为动脉瘤AFI云图,瘤体侧壁上存在部分AFI低区域,即偏蓝色区域。流增多形成涡流并不断的冲击着动脉瘤管壁,壁面切应力的方向变化明显,血液流动不稳定。
  2.6  动脉瘤GON云图分析
  动脉瘤GON云图(图8)表明在动脉瘤表面存在强烈的震荡力和压缩力,原因是血液在进入瘤腔后形成涡流,导致动脉瘤壁震荡,这种冲击对瘤壁造成膨胀或者扩张。   3  討论与结论
  通过血流动力学计算分析,发现完全栓塞手术可以阻断进入动脉瘤内的血液[21-24],提高TAWSS及降低OSI等,降低了破裂出血的风险。通过本实验对最动脉瘤血流动力学的参数的变化分析可得出以下结论:
  (1)动脉瘤TAWSS及TAWSSG的不稳定,栓塞手术能够降低动脉瘤破裂的风险性[25-30],而在栓塞术后的血管交叉处,血管壁则较易受损;
  (2)OSI值较高,改变瘤体内震荡水平导致血流紊乱,OSI值减低,血流趋于稳定;
  (3)随着动脉瘤AFI值逐渐升高,血液流动可逐渐平稳,可降低动脉瘤破裂危险性。
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其他文献
摘 要: 血糖浓度不同的血清样品被相同波长的光激发后,得到各个血清的荧光发射光谱,通过对光谱分析以及数据处理后可以得到血清中血糖浓度的大小。实验结果表明,血清的发射波长约为470 nm,激发光波长相同时,随着葡萄糖浓度的增加,得到的光谱图中波峰处的光强也增加,另外波峰的半峰宽减小,曲线波峰的面积也越大。可以由这些特征值预测血糖浓度。  关键词: 光谱分析;荧光分析;血糖  中图分类号: O433.
期刊
摘 要: 随着人工智能的兴起,以人工智能为核心的虚拟助理不断涌现在民用市场上,为民众提供实时的信息支援服务。通过借鉴虚拟助理在民用领域的应用,本文提出一种面向信息化保障领域的虚拟助理应用设计,利用虚拟助理强大的信息处理能力解决军事保障中信息量大、任务繁多的难题。本文从装备保障、人员保障、决策保障和售后保障四个角度构思了虚拟助理在信息化保障的应用方向,将虚拟助理的信息支援融入军事信息化保障领域,提升
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摘 要: 在人工智能时代的背后,驱动这个美好社会的底层是编程,其搭建的底层架构为人工智能的实现打下良好的基础,因此,编程已成为未来发展中不可或缺的一项基本技能。中小学生作为信息时代的“数字土著”,更需要具备基本的编程能力以应对未来信息时代中的各种挑战。但目前国内的编程教育还存在教学内容单一,教学方法不到位,编程教育相对其他课程孤立等问题。因此,论文通过Scratch 和“编程一小时”图形化和具有趣
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摘 要: 随着信息技术的飞速发展,各类统计软件在研究生教学中的比重逐渐增加,但教学效果却不尽人意。本文以统计软件课程现状和教学过程中存在的问题分析为出发点,针对目前统计软件课程教学内容、教学方法和考核制度提出来相应的改革方法,旨在激发学生的学习积极性,培养学生独立解决工作和学习中的与统计有关问题的素质。  关键词: 统计软件;课程改革;探讨  中图分类号: G643.2 文献标识码: A DO
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摘 要: 为满足数字图像处理实验课程的需求,设计开发了基于MATLAB的图像处理系统。系统利用MATLAB作为编程语言,通过MATLAB GUI开发集成交互界面。系统实现了图像增强处理、图像边缘检测处理、图片特殊处理、图像类型转换处理、频率变换处理以及频率滤波器处理等六个功能模块。测试结果表明,系统调用callback函数实现对应图像的变换处理,可以直观的显示处理后的图像。  关键词: MATLA
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摘 要: 为验证AMEsim软件在热液压系统仿真方面的真实性和优势,基于AMEsim软件对液压系统内热量易集中的油箱元件进行了建模和仿真,通过对油箱散热的理论模型进行分析,建立了能够准确反应油箱的产热和散热的整套模型系统,然后对模型进行仿真计算,仿真结果真实有效,AMEsim软件对热液压系统仿真具有独特优势。  关键词: AMEsim;油箱散热;建模;仿真  中图分类号: TP319 文献标识码
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摘 要: 基于CT影像DICOM格式数据,应用MIMICS精确建模,应用3-matic进行四面体网格划分,利用MIMICS根据CT灰度值进行材料属性赋予,通过计算机仿真软件ANSYS实现力学分析,本文旨在探讨生物力学中有限元模型的构建途径,以对临床提供帮助。  关键词: CT;股骨三维重建;有限元分析  中图分类号: TP311.52 文献标识码: A DOI:10.3969/j.issn.1
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摘 要: 近些年,智能优化算法在软件工程领域得到了广泛的应用,基于搜索的软件工程技术往往通过设计具体问题的适应值函数,并基于该函数在问题的可行解空间中使用优化算法寻求最优解。本文首先介绍了常用的智能优化算法,包括遗传算法、爬山算法、粒子群算法以及蚁群算法,之后分析并研究这些算法在测试数据生成、测试用例选择以及测试用例优先级排序技术中的应用,为有效解决基于搜索的软件工程问题奠定基础,促进回归测试效率
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摘 要: 本文针对目前光伏发电系统发电效能低、环境要求高及控制系统非智能化等问题,设计一款基于PLC控制器与物联网云平台联合监控的智能化卷轴翼展追日式光伏发电系统。本文对光伏发电系统进行机械结构的创新设计、监控系统主要硬件和软件的优化设计,解决和完善目前光伏监控系统存在的不足。达到提升发电效能、增强环境适应能力与实现智能化监控功能的目的。  关键词: 光伏发电;自动跟踪;PLC;物联网监控  中图
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摘 要: 为了解决医学知识图谱中知识重复、知识质量良莠不齐、知识间关联不够明确等问题,本文提出了一种大数据驱动下的医学知识图谱构建方法,同时针对医学知识图谱集成、演进、增强方面进行图谱知识融合和补全操作。然后,简单介绍医学知识图谱在医学领域的几个重要应用以及相关的人工智能技术的支持。最后,结合当前我国医学知识图谱构建技术面临的重大挑战和关键问题,对其发展前景进行了展望。  关键词: 医学知识图谱;
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