ABSTRACT
Vascular disease is one of the main causes of human mortality world-wide and affects more than a million people in the United States every year (Roger et al. 2011). To properly treat this disease, a reliable hemodynamic analysis is crucial; however, the medical assessment instruments used today are intrusive and yield data with low accuracy. An alternative assessment tool is a patient-specific computational fluid dynamics (CFD) analysis (Berthier et al. 2002), (Antiga et al. 2008), (Mut et al. 2010). Unfortunately, full 3D CFD typically takes too long to be done in a clinically relevant time frame due to its high computational complexity, and is therefore not usable by clinicians. In this work, we propose a faster hemodynamic analysis through a new CFD method, and expand the concept of a vascular library,which is based on our previous work (Jung et al. 2012), (Lee 2011).
