Vascular Model

Vascular modeling focuses on creating accurate three-dimensional representations of blood vessels for medical diagnosis, treatment planning, and research. Current research emphasizes developing robust and efficient algorithms, including deep learning architectures like U-Nets and graph neural networks, to segment vessels from various imaging modalities (e.g., CT, MRI) and generate realistic synthetic vascular models. These advancements improve the accuracy and speed of analyses, enabling applications such as personalized treatment planning for cardiovascular diseases and improved understanding of hemodynamics.