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本文引用的文献

1
Large-scale subject-specific cerebral arterial tree modeling using automated parametric mesh generation for blood flow simulation.使用自动化参数化网格生成进行血流模拟的大规模特定主题大脑动脉树建模。
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2
Minimizing the blood velocity differences between phase-contrast magnetic resonance imaging and computational fluid dynamics simulation in cerebral arteries and aneurysms.最小化脑动脉和动脉瘤中相位对比磁共振成像和计算流体动力学模拟之间的血流速度差异。
Med Biol Eng Comput. 2017 Sep;55(9):1605-1619. doi: 10.1007/s11517-017-1617-y. Epub 2017 Feb 4.
3
Gap-free segmentation of vascular networks with automatic image processing pipeline.利用自动图像处理流程对血管网络进行无间隙分割。
Comput Biol Med. 2017 Mar 1;82:29-39. doi: 10.1016/j.compbiomed.2017.01.012. Epub 2017 Jan 21.
4
Wall shear stress exposure time: a Lagrangian measure of near-wall stagnation and concentration in cardiovascular flows.壁面剪应力暴露时间:心血管流动中近壁停滞和浓度的拉格朗日度量。
Biomech Model Mechanobiol. 2017 Jun;16(3):787-803. doi: 10.1007/s10237-016-0853-7. Epub 2016 Nov 17.
5
Sensitivity of flow patterns in aneurysms on the anterior communicating artery to anatomic variations of the cerebral arterial network.前交通动脉动脉瘤血流模式对脑动脉网络解剖变异的敏感性。
J Biomech. 2016 Nov 7;49(15):3731-3740. doi: 10.1016/j.jbiomech.2016.09.031. Epub 2016 Oct 6.
6
Quantitative assessment of parent vessel and distal intracranial hemodynamics following pipeline flow diversion.血流导向装置置入术后颅内供血动脉及远端血流动力学的定量评估
Interv Neuroradiol. 2017 Feb;23(1):34-40. doi: 10.1177/1591019916668842. Epub 2016 Oct 4.
7
Multiscale modeling and simulation of brain blood flow.脑血流的多尺度建模与模拟
Phys Fluids (1994). 2016 Feb;28(2):021304. doi: 10.1063/1.4941315. Epub 2016 Feb 8.
8
Automatic recognition of subject-specific cerebrovascular trees.特定个体脑血管树的自动识别。
Magn Reson Med. 2017 Jan;77(1):398-410. doi: 10.1002/mrm.26087. Epub 2016 Jan 17.
9
Characterizations and Correlations of Wall Shear Stress in Aneurysmal Flow.动脉瘤血流中壁面剪应力的特征及相关性
J Biomech Eng. 2016 Jan;138(1):0145031-01450310. doi: 10.1115/1.4032056.
10
Numerical Study of Cerebroarterial Hemodynamic Changes Following Carotid Artery Operation: A Comparison Between Multiscale Modeling and Stand-Alone Three-Dimensional Modeling.颈动脉手术后脑动脉血流动力学变化的数值研究:多尺度建模与独立三维建模的比较
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大型脑动脉树中近壁血流动力学危险因素的量化

Quantification of near-wall hemodynamic risk factors in large-scale cerebral arterial trees.

作者信息

Ghaffari Mahsa, Alaraj Ali, Du Xinjian, Zhou Xiaohong Joe, Charbel Fady T, Linninger Andreas A

机构信息

Department of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.

Department of Neurosurgery, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA.

出版信息

Int J Numer Method Biomed Eng. 2018 Jul;34(7):e2987. doi: 10.1002/cnm.2987. Epub 2018 May 23.

DOI:10.1002/cnm.2987
PMID:29601146
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6043404/
Abstract

Detailed hemodynamic analysis of blood flow in pathological segments close to aneurysm and stenosis has provided physicians with invaluable information about the local flow patterns leading to vascular disease. However, these diseases have both local and global effects on the circulation of the blood within the cerebral tree. The aim of this paper is to demonstrate the importance of extending subject-specific hemodynamic simulations to the entire cerebral arterial tree with hundreds of bifurcations and vessels, as well as evaluate hemodynamic risk factors and waveform shape characteristics throughout the cerebral arterial trees. Angioarchitecture and in vivo blood flow measurement were acquired from healthy subjects and in cases with symptomatic intracranial aneurysm and stenosis. A global map of cerebral arterial blood flow distribution revealed regions of low to high hemodynamic risk that may significantly contribute to the development of intracranial aneurysms or atherosclerosis. Comparison of pre-intervention and post-intervention of pathological cases further shows large angular phase shift (~33.8°), and an augmentation of the peak-diastolic velocity. Hemodynamic indexes of waveform analysis revealed on average a 16.35% reduction in the pulsatility index after treatment from lesion site to downstream distal vessels. The lesion regions not only affect blood flow streamlines of the proximal sites but also generate pulse wave shift and disturbed flow in downstream vessels. This network effect necessitates the use of large-scale simulation to visualize both local and global effects of pathological lesions.

摘要

对靠近动脉瘤和狭窄部位的病理段血流进行详细的血流动力学分析,为医生提供了有关导致血管疾病的局部血流模式的宝贵信息。然而,这些疾病对脑循环树内的血液流动既有局部影响,也有全局影响。本文的目的是证明将特定个体的血流动力学模拟扩展到具有数百个分支和血管的整个脑动脉树的重要性,并评估整个脑动脉树中的血流动力学危险因素和波形形状特征。从健康受试者以及有症状的颅内动脉瘤和狭窄病例中获取血管结构和体内血流测量数据。脑动脉血流分布的全局图揭示了从低到高血流动力学风险的区域,这些区域可能对颅内动脉瘤或动脉粥样硬化的发展有显著影响。病理病例干预前后的比较进一步显示出较大的角相位偏移(约33.8°)以及舒张期峰值速度的增加。波形分析的血流动力学指标显示,从病变部位到下游远端血管,治疗后搏动指数平均降低了16.35%。病变区域不仅影响近端部位的血流流线,还会在下游血管中产生脉搏波偏移和紊乱血流。这种网络效应使得有必要使用大规模模拟来可视化病理病变的局部和全局影响。