Book Description
Currently, hemodynamically guided diagnosis and treatment of cardiovascular diseases has vastly improved morbidity and mortality. However, many challenges remain, such as the increasing complexity of patients' conditions, the uneven level of overall treatment, the heavy task of medical and nursing staff in treating patients, and the accelerated updating and iteration of new technologies in the discipline. In clinic settings, obtaining direct clinical access of hemodynamic parameters remains challenging, mainly due to the potential risks of invasive measurements and expensive medical costs. Numerous experimental and simulation methods have been developed to address this deficiency to achieve noninvasive detection of hemodynamics. Two commonly utilized techniques are the representative particle image velocimetry (PIV) and computational fluid dynamics (CFD).
