Purpose Advanced morphology analysis and image-based hemodynamic simulations are
increasingly used to assess the rupture risk of intracranial aneurysms (IAs). However, the …

The development of intelligent blood coagulation diagnoses is awaited to meet the current
need for large clinical time-sensitive caseloads due to its efficient and automated diagnoses …

Background The segmentation of cardiac medical images is a crucial step for calculating
clinical indices such as wall thickness, ventricular volume, and ejection fraction. Methods In …

Purpose Segmentation of cardiac medical images, an important step in measuring cardiac
function, is usually performed either manually or semiautomatically. Fully automatic …

Purpose The thrombus in the false lumen (FL) of aortic dissection (AD) patients is a
meaningful indicator to determine aortic remodeling but difficult to measure in clinic. In this …

Purpose Low-porosity endovascular stents, known as flow diverters (FDs), have been
proposed as an effective and minimally invasive treatment for sidewall intracranial …

Segmentation of the geometric morphology of abdominal aortic aneurysm is important for
interventional planning. However, the segmentation of both the lumen and the outer wall of …

We introduce two new approaches, called A-LSOB and N-MR, for boundary and interface-
conjugate conditions on flat or curved surface shapes in the advection-diffusion lattice …

Intracranial aneurysms (IAs) manifest as atypical dilatation within the intracranial arterial
structures, the rupture of which accounts for high mortality and morbidity rates. Current …

This paper suggests a new methodology based on the Lattice Boltzmann Method for the
modelling of complex biomechanical systems. The LBM can be applied for different …