3D Reconstruction And Finite Element Analyzing Of Loacal Blood Flow In Arteries

Vascular disease has become most dangerous factor threatened to public health in developed countries. A continuously increasing incidence of vascular diseases implies a rising quantity of angiographic data sets (MRA-magnetic resonance angiography, CTA) and there with a time consuming evaluation for radiologists and medical scientists. Manual extraction of vessels in a3d data set is an arduous and imprecise process. Therefore an accurate and automated vessel segmentation method would be a considerable assistance for clinical diagnosis, quantitative analysis of vascular diseases and Computational fluid dynamics (CFD), but designing an automatic segmentation method for medical data sets is still a challenging problem due to the complex structure of the vascular system, noise, gaps in object boundaries and an overlapping intensity distribution of vessels to other structures.With the rapid development of computer modeling and finite element simulation technology, scholars have launched a large number of studies on vascular disease and believed that the vessel wall shear stress and homodynamic play an important role on the formation and deterioration of vascular disease. This paper adopted three MRI brain arteries topographic datasets, achieved3D reconstruction and fluid dynamics of the local environment study, to examine the characteristics of brain hemodynamics. Verifying the construction of the human cerebral vascular finite element computer model and providing an efficient simulation methodology foundation for finite element analysis in a wide range of clinical applications. The whole analysis process will help create an assessment system for the outcome of endovascular treatment from a hemodynamic viewpoint.