Mathematical and computational modeling of the cardiovascular system is increasingly
providing non‐invasive alternatives to traditional invasive clinical procedures. Moreover, it …

Left ventricular diastolic dysfunction is a major cause of heart failure and carries a poor
prognosis. Assessment of left ventricular diastolic function however remains challenging for …

Background Chronic type B aortic dissection (TBAD) is associated with poor long-term
outcome, and accurate risk stratification tools remain lacking. Pressurization of the false …

The development of cerebrovascular disease is tightly coupled to regional changes in
intracranial flow and relative pressure. Image-based assessment using phase contrast …

Purpose Hemodynamic alterations are indicative of cerebrovascular disease. However, the
narrow and tortuous cerebrovasculature complicates image‐based assessment, especially …

Personalized computational cardiac models are considered to be a unique and powerful
tool in modern cardiology, integrating the knowledge of physiology, pathology and …

In this paper, a time-periodic MGRIT algorithm is proposed as a means to reduce the time-to-
solution of numerical algorithms by exploiting the time periodicity inherent to many …

Purpose Intraventricular blood flow dynamics are associated with cardiac function. Accurate,
noninvasive, and easy assessments of hemodynamic quantities (such as velocity, vortex …

Objective Arterial stenosis is a significant cardiovascular disease requiring accurate
estimation of the pressure gradients for determining hemodynamic significance. In this …

This study presents a method for noninvasive pressure gradient estimation, which allows the
detection of small pressure differences with higher precision compared to invasive catheters …