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迈向颅内动脉瘤大规模计算流固生长模型。

Toward large-scale computational fluid-solid-growth models of intracranial aneurysms.

机构信息

Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.

出版信息

Yale J Biol Med. 2012 Jun;85(2):217-28. Epub 2012 Jun 25.

Abstract

Complementary advances in medical imaging, vascular biology, genetics, biomechanics, and computational methods promise to enable the development of mathematical models of the enlargement and possible rupture of intracranial aneurysms that can help inform clinical decisions. Nevertheless, this ultimate goal is extremely challenging given the many diverse and complex factors that control the natural history of these lesions. As it should be expected, therefore, predictive models continue to develop in stages, with new advances incorporated as data and computational methods permit. In this paper, we submit that large-scale, patient-specific, fluid-solid interaction models of the entire circle of Willis and included intracranial aneurysm are both computationally tractable and necessary as a critical step toward fluid-solid-growth (FSG) models that can address the evolution of a lesion while incorporating information on the genetically and mechanobiologically determined microstructure of the wall.

摘要

医学影像学、血管生物学、遗传学、生物力学和计算方法的互补进展有望使颅内动脉瘤扩大和可能破裂的数学模型的发展成为可能,从而为临床决策提供信息。然而,鉴于控制这些病变自然史的许多不同和复杂因素,这一最终目标极具挑战性。因此,正如人们所料,预测模型仍在分阶段发展,随着数据和计算方法的允许,新的进展被纳入其中。在本文中,我们认为整个 Willis 环和包含的颅内动脉瘤的大规模、个体化、流固耦合模型在计算上是可行的,并且作为一个关键步骤,对于能够在整合壁的遗传和机械生物学决定的微观结构信息的同时解决病变演变的流固生长(FSG)模型是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db8c/3375664/ee3d8e42a316/yjbm_85_2_217_g01.jpg

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