大脑脉动血流电导率孔隙导电模型仿真

doi:10.19595/j.cnki.1000-6753.tces.201253

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (6039 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Cerebral blood conductivity is an important parameter for brain impedance imaging and brain disease assessment. In order to study the change mechanism of brain blood pulsating conductivity, a model of erythrocyte insulation pore conductivity was established based on Maxwell- Fricke principle. Using hemodynamic parameters as reference indicators, the numerical relationship between blood flow conductivity and geometric parameters of erythrocyte insulation pores was analyzed. Then, a high-resolution model of circle of Willis with porous conductive structure was constructed, the coupled nonlinear differential equations were used to calculate the temporal and spatial distribution of cerebral artery hemodynamic parameters, and the equivalent volume conductivity of non-uniform conductivity blood was simulated. Compared with the steady blood flow model without considering the pore orientation, the peak conductivity of the pore conductivity model increases by 27.6% in one cardiac cycle and 12% at the rest of the time, which is closely related to the heart pumping period. The simulation results are in good agreement with the real pulsating blood conductivity, which proves that the model proposed in this paper can accurately predict the in vivo blood conductivity under different hemorheological conditions.

Key words： Electrical conductivity pulsating blood flow pore conductivity model cerebral artery model

Received: 20 September 2020

PACS:

TM930

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Ding Xiaodi
	Ke Li
	Du Qiang

Cite this article:

Ding Xiaodi,Ke Li,Du Qiang. Simulation on Pore Conductivity Model of Cerebral Pulsating Blood Flow Conductivity[J]. Transactions of China Electrotechnical Society, 2021, 36(4): 738-746.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.201253 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I4/738

[1] Pethig R.Dielectric properties of biological materials: biophysical and medical applications[J]. IEEE Transa- ctions on Electrical Insulation, 1984, 19(5): 453-474.
[2] Adler A, Boyle A.Electrical impedance tomography: tissue properties to image measures[J]. IEEE Transa- ctions on Biomedical Engineering, 2017, 64(11): 2494-2504.
[3] Li Xu, Yu Kai, He Bin.Magnetoacoustic tomography with magnetic induction (MAT-MI) for imaging electrical conductivity of biological tissue: a tutorial review[J]. Physics in Medicine & Biology, 2016, 61(18): R249-R270.
[4] Dekdouk B, Ktistis C, Armitage D W, et al.Absolute imaging of low conductivity material distributions using nonlinear reconstruction methods in magnetic induction tomography[J]. Progress in Electromag- netics Research, 2016, 155: 1-18.
[5] 夏慧, 刘国强, 黄欣, 等. 注入电流式磁声成像平面模型的逆问题研究[J]. 电工技术学报, 2017, 32(4): 147-153.
Xia Hui, Liu Guoqiang, Huang Xin, et al.The inverse problem study of plane model based on magneto- acoustic tomography with current injection[J]. Transactions of China Electrotechnical Society, 2017, 32(4): 147-153.
[6] Hoetink A E, Faes T J, Visser K R, et al.On the flow dependency of the electrical conductivity of blood[J]. IEEE Transactions on Biomedical Engineering, 2004, 51(7): 1251-1261.
[7] Gaw R L, Cornish B H, Thomas B J.The electrical impedance of pulsatile blood flowing through rigid tubes: a theoretical investigation[J]. IEEE Transa- ctions on Biomedical Engineering, 2008, 55(2): 721-727.
[8] Gaw R L.The effect of red blood cell orientation on the electrical impedance of pulsatile blood with implications for impedance cardiography[D]. Brisbane: Queens-land University of Technology, 2010.
[9] Shen Hua, Zhu Yong, Qin Kai-Rong.A theoretical computerized study for the electrical conductivity of arterial pulsatile blood flow by an elastic tube model[J]. Medical Engineering & Physics, 2016, 38(12): 1439-1448.
[10] Shen Hua, Li Siqi, Wang Yu, et al.Effects of the arterial radius and the center-line velocity on the con- ductivity and electrical impedance of pulsatile flow in the human common carotid artery[J]. Medical & Biological Engineering & Computing, 2019, 57(2): 441-451.
[11] Zhbanov A, Yang S.Effects of aggregation on blood sedimentation and conductivity[J]. PLoS One, 2015, 10(6): e0129337.
[12] Cokelet G.Hemorheology and hemodynamics[M]. San Rafael: Morgan & Claypool Publishers, 2011.
[13] Fasano A, Sequeira A.Hemomath: the mathematics of blood[M]. Cham: Springer, 2017.
[14] Brust M, Schaefer C, Doerr R, et al.Rheology of human blood plasma: viscoelastic versus newtonian behavior[J]. Physical Review Letters, 2013, 110(7): 078305.
[15] Grover N, Naaman J, Ben-Sasson S, et al.Electrical sizing of particles in suspensions: i. theory[J]. Bio- physical Journal, 1969, 9(11): 1398-1414.
[16] Sakamoto K, Kanai H.Electrical characteristics of flowing blood[J]. IEEE Transactions on Biomedical Engineering, 1979, 26(12): 686-695.
[17] Donaldson I M.Cerebri anatome: thomas Willis and his circle[J]. The Journal of the Royal College of Physicians of Edinburgh, 2010, 40(3): 277-279.
[18] Iqbal S.A comprehensive study of the anatomical variations of the circle of Willis in adult human brains[J]. Journal of Clinical and Diagnostic Research, 2013, 7(11): 2423-2427.
[19] Tarasów E, Ali A A S, Lewszuk A, et al. Measure- ments of the middle cerebral artery in digital subtraction angiography and MR angiography[J]. Medical Science Monitor, 2007, 13(1): 65-72.
[20] 韩金涛, 乔惠婷, 李选, 等. 应用磁共振血管造影术研究大脑中动脉 M1段形态[J]. 北京大学学报: 医学版, 2015, 47(1): 181-185.
Han Jintao, Qiao Huiting, Li Xuan, et al.Morpho- logical typing of the middle cerebral artery M1 segment by magnetic resonance angiography[J]. Journal of Peking University: Health Sciences, 2015, 47(1): 181-185.
[21] Wright S N, Kochunov P, Mut F, et al.Digital reconstruction and morphometric analysis of human brain arterial vasculature from magnetic resonance angiography[J]. Neuroimage, 2013, 82: 170-181.
[22] Tyfa Z, Obidowski D, Reorowicz P, et al.Numerical simulations of the pulsatile blood flow in the different types of arterial fenestrations: comparable analysis of multiple vascular geometries[J]. Bio- cybernetics and Biomedical Engineering, 2018, 38(2): 228-242.
[23] Lorthois S, Cassot F, Lauwers F.Simulation study of brain blood flow regulation by intra-cortical arterioles in an anatomically accurate large human vascular network. part II: flow variations induced by global or localized modifications of arteriolar diameters[J]. Neuroimage, 2011, 54(4): 2840-2853.
[24] Zarrinkoob L, Ambarki K, Wåhlin A, et al.Blood flow distribution in cerebral arteries[J]. Journal of Cerebral Blood Flow & Metabolism, 2015, 35(4): 648-654.
[25] Gaw R L, Cornish B H, Thomas B J.The electrical impedance of pulsatile blood flowing through rigid tubes: a theoretical investigation[J]. IEEE Transa- ctions on Biomedical Engineering, 2008, 55(2 Pt 1): 721-727.
[26] Akhtar R, Sherratt M J, Cruickshank J K, et al.Characterizing the elastic properties of tissues[J]. Materials Today, 2011, 14(3): 96-105.
[27] 王小飞, 代颖, 罗建. 基于流固耦合的车用永磁同步电机水道设计与温度场分析[J]. 电工技术学报, 2019, 34(增刊1): 22-29.
Wang Xiaofei, Dai Ying, Luo Jian.Waterway design and temperature field analysis of vehicle permanent magnet synchronous motor based on fluid-solid coupling[J]. Transactions of China Electrotechnical Society, 2019, 34(S1): 22-29.
[28] 朱高嘉, 朱英浩, 朱建国, 等. 基于有限公式法和流固耦合的永磁牵引电动机冷却系统设计与分析[J]. 电工技术学报, 2017, 32(5): 70-77.
Zhu Gaojia, Zhu Yinghao, Zhu Jianguo, et al.Thermal analysis and cooling system design of a permanent magnet traction motor using computational fluid dynamics and cell method[J]. Transactions of China Electrotechnical Society, 2017, 32(5): 70-77.
[29] Trakic A, Akhand M, Wang H, et al.Computational modelling of blood-flow-induced changes in blood electrical conductivity and its contribution to the impedance cardiogram[J]. Physiological Measurement, 2010, 31(1): 13-33.