Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery

Year 2020, , 1213 - 1218, 01.12.2020

Levent Aydin , Serdar Kucuk , Ozgur Cakir

https://doi.org/10.2339/politeknik.616293

Cited By: 1

Abstract

Nowadays cardiovascular diseases (CVDs), mostly
coronary artery diseases become a leading cause of death. Flow dynamics of a
vessel is important to diagnose a CVD in advance. However, hemodynamic
parameters may not be measured directly. Hence, computational methods are
increasingly being used in the fields of neurosurgery and cardiovascular
surgery to obtain realistic physiological simulations. In this study, a patient
specific thoracic artery model is first segmented based on the MRI images and
then a thoracic aneurysm disease model is simulated to assess blood flow
changes under the predefined conditions.

Keywords

Disease model, computational fluid dynamics, cardiovascular disease, thoracic artery, aneurysm

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