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首页> 外文期刊>Computer methods in biomechanics and biomedical engineering >An integrated geometric modelling framework for patient-specific computational haemodynamic study on wide-ranged vascular network
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An integrated geometric modelling framework for patient-specific computational haemodynamic study on wide-ranged vascular network

机译：用于大范围血管网络的患者特定计算血流动力学研究的集成几何建模框架

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摘要

Patient-specific haemodynamic computations have been used as an effective tool in researches on cardiovascular disease associated with haemodynamics such as atherosclerosis and aneurysm. Recent development of computer resource has enabled 3D haemodynamic computations in wide-spread arterial network but there are still difficulties in modelling vascular geometry because of noise and limited resolution in medical images. In this paper, an integrated framework to model an arterial network tree for patient-specific computational haemodynamic study is developed. With this framework, 3D vascular geometry reconstruction of an arterial network and quantification of its geometric feature are aimed. The combination of 3D haemodynamic computation and vascular morphology quantification helps better understand the relationship between vascular morphology and haemodynamic force behind 'geometric risk factor' for cardiovascular diseases. The proposed method is applied to an intracranial arterial network to demonstrate its accuracy and effectiveness. The results are compared with the marching-cubes (MC) method. The comparison shows that the present modelling method can reconstruct a wide-ranged vascular network anatomically more accurate than the MC method, particularly in peripheral circulation where the image resolution is low in comparison to the vessel diameter, because of the recognition of an arterial network connectivity based on its centreline.
机译：特定于患者的血流动力学计算已被用作研究与血流动力学相关的心血管疾病（例如动脉粥样硬化和动脉瘤）的有效工具。计算机资源的最新发展使得能够在广泛的动脉网络中进行3D血流动力学计算，但是由于噪声和医学图像分辨率有限，在建模血管几何形状方面仍然存在困难。在本文中，开发了一个集成的框架来为患者特定的计算血流动力学研究建模动脉网络树。在此框架下，目标是对动脉网络进行3D血管几何重构并对其几何特征进行量化。 3D血液动力学计算与血管形态学量化的结合有助于更好地了解心血管疾病“几何危险因素”背后的血管形态与血液动力学力之间的关系。所提出的方法被应用于颅内动脉网络以证明其准确性和有效性。将结果与行进立方体（MC）方法进行比较。比较表明，本发明的建模方法在解剖学上比MC方法可以更精确地重建大范围的血管网络，尤其是在外周循环中，由于识别了动脉网络连通性，图像分辨率比血管直径低根据其中心线。

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