The MeDiTATe project will be participating in the VPH 2022 – Virtual Physiological Human Conference that will be held in Porto from 6th to 9th September 2022.
Two of our Early Stage Researchers, Antonio Martinez Pascual and Martino Andrea Scarpolini, will be presenting their work described in the following sections.

Antonio Martinez Pascual – ESR 01: Impact of Image Segmentation Variability on Hemodynamic Prediction of Flow Quantities in AAA. Computational fluid dynamics (CFD) can be used to compute various hemodynamic factors for abdominal aortic aneurysms (AAA), which may be used to assist with the risk assessment. Variability in the shape of the AAA lumen may arise during segmentation of the lumen wall from the medical image data. The resulting variation in local geometrical factors, such as the diameter and curvature, may impact the rupture prediction. Therefore, this study aims to estimate the effect of geometric uncertainty due to the segmentation process on WSS and wall pressure predictions.

Martino Andrea Scarpolini – ESR 09:  A correlation study between morphological parameters and hemodynamics indices: an integrated deep learning and statistical shape modeling approach.
Deep Learning (DL) has been demonstrated to be a promising tool to estimate hemodynamic indices in several cardiovascular districts. Statistical shape (SS) analysis, on the other hand, is an established tool to quantitatively assess geometric variability. In this work, these two methods are combined to develop a real-time estimation method for hemodynamic indices of the whole thoracic aorta.