一种用于脑动脉瘤中自发性血栓形成的时空模型。
A spatio-temporal model for spontaneous thrombus formation in cerebral aneurysms.
作者信息
Malaspinas O, Turjman A, Ribeiro de Sousa D, Garcia-Cardena G, Raes M, Nguyen P-T T, Zhang Y, Courbebaisse G, Lelubre C, Zouaoui Boudjeltia K, Chopard B
机构信息
Centre Universitaire d׳Informatique, Université de Genève, 7, route de Drize, CH-1227 Switzerland.
Center for Excellence in Vascular Biology, Department of Pathology, Brigham and Women׳s Hospital and Harvard Medical School, Boston, MA 02115, United States; Department of Materials Science and Engineering, Massachusetts Institute of Technology, Boston MA 02139, United States.
出版信息
J Theor Biol. 2016 Apr 7;394:68-76. doi: 10.1016/j.jtbi.2015.12.022. Epub 2016 Jan 21.
We propose a new numerical model to describe thrombus formation in cerebral aneurysms. This model combines CFD simulations with a set of bio-mechanical processes identified as being the most important to describe the phenomena at a large space and time scales. The hypotheses of the model are based on in vitro experiments and clinical observations. We document that we can reproduce very well the shape and volume of patient specific thrombus segmented in giant aneurysms.
我们提出了一种新的数值模型来描述脑动脉瘤中的血栓形成。该模型将计算流体动力学（CFD）模拟与一组生物力学过程相结合，这些过程被认为是在大空间和时间尺度上描述该现象最重要的因素。该模型的假设基于体外实验和临床观察。我们证明，我们能够很好地再现从巨大动脉瘤中分割出的患者特异性血栓的形状和体积。
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