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Characterization of Hemodynamics in Great Arteries of Wild-Type Mouse Using Computational Fluid Dynamics Based on Ultrasound Images

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机构: [1]Capital Med Univ, Dept Ultrasound, Beijing Anzhen Hosp, Beijing 100029, Peoples R China; [2]Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100191, Peoples R China; [3]Capital Med Univ, Beijing Inst Heart Lung & Blood Vessel Dis, Beijing Anzhen Hosp, Beijing, Peoples R China
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关键词: ultrasound computer-assisted numerical analysis aorta hemodynamics AAO = ascending aorta AAR = aortic arch CFD = computational fluid dynamics DA = descending aorta IA = innominate artery LSCA = left subclavian artery PW = pulse wave Doppler WSS = wall shear stress

摘要:
Hemodynamic factors in cardiovascular system are hypothesized to play a significant role in causing structural heart development. It is thus important to improve our understanding of velocity characteristics and parameters. We present such a study on wild-type mouse to characterize the vessel geometry, flow pattern, and wall shear stress in great arteries. Microultrasound imaging for small animals was used to measure blood boundary and velocity of the great arteries. Subsequently, specimens' flow boundary conditions were used for 3-dimensional reconstructions of the great artery and aortic arch dimensions, and blood flow velocity data were input into subject-specific computational fluid dynamics for modeling hemodynamics. Measurement by microultrasound imaging showed that blood velocities in the great artery and aortic arch had strong correlations with vascular sizes, whereas blood pressure had a weak trend in relation to vascular size. Wall shear stress magnitude increased when closer to arterial branches and reduced proximally in the aortic root and distally in the descending aorta, and the parameters were related to the fluid mechanics in branches in some degree. We developed a method to investigate fluid mechanics in mouse arteries, using a combination of microultrasound and computational fluid dynamics, and demonstrated its ability to reveal detailed geometric, kinematic, and fluid mechanics parameters.

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出版当年[2015]版:
大类 | 4 区 医学
小类 | 4 区 核医学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 核医学
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出版当年[2014]版:
Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2014版] 出版当年五年平均 出版前一年[2013版] 出版后一年[2015版]

第一作者:
第一作者机构: [1]Capital Med Univ, Dept Ultrasound, Beijing Anzhen Hosp, Beijing 100029, Peoples R China;
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通讯机构: [1]Capital Med Univ, Dept Ultrasound, Beijing Anzhen Hosp, Beijing 100029, Peoples R China;
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