Humphrey J D
Department of Biomedical Engineering and M.E. DeBakey Institute Texas A&M University, College Station, USA.
Int J Comut Fluid Dyn. 2009 Sep 1;23(8):569-581. doi: 10.1080/10618560902832712.
Arteries exhibit a remarkable ability to adapt in response to sustained alterations in hemodynamic loading, to heal in response to injuries, and to compensate in response to diverse disease conditions. Nevertheless, such compensatory adaptations are limited and many vascular disorders, if untreated, lead to significant morbidity or mortality. Parallel advances in vascular biology, medical imaging, biomechanics, and computational methods promise to provide increased insight into many arterial diseases, including intracranial aneurysms. In particular, although it may be possible to identify useful clinical correlations between either the blood flow patterns within or the shape of aneurysms and their rupture-potential, our ultimate goal should be to couple studies of hemodynamics with those of wall mechanics and the underlying mechanobiology so that we can understand better the mechanisms by which aneurysms arise, enlarge, and rupture and thereby identify better methods of treatment. This paper presents one such approach to fluid-solid-growth (FSG) modeling of intracranial aneurysms.
动脉表现出非凡的能力，能够适应血流动力学负荷的持续变化，对损伤做出愈合反应，并对各种疾病状况进行代偿。然而，这种代偿性适应是有限的，许多血管疾病如果不治疗，会导致严重的发病率或死亡率。血管生物学、医学成像、生物力学和计算方法的并行进展有望为包括颅内动脉瘤在内的许多动脉疾病提供更多的见解。特别是，虽然有可能确定动脉瘤内的血流模式或其形状与其破裂潜能之间有用的临床相关性，但我们的最终目标应该是将血流动力学研究与血管壁力学及潜在的力学生物学研究相结合，以便我们能够更好地理解动脉瘤产生、扩大和破裂的机制，从而确定更好的治疗方法。本文介绍了一种用于颅内动脉瘤流固生长（FSG）建模的方法。
