Development of Smart Patient-Specific 3D Printed Vascular Phantoms for Assessment of Flow Dynamics and Treatment Simulations Using Embedded Sensors
Karkhanis, Nitant Vivek
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Cardiovascular Diseases (CVD) being the leading cause of death, investigating various methods for understanding the effects of these diseases is of utmost importance. Hemodynamic parameters such as blood pressure and flow rate are the first once affected by CVD. There have been various methods developed to study the flow dynamics using Computational Fluid Dynamics (CFD) which are computationally intensive and also uses unrealistic boundary conditions such as rigid vessel wall. This thesis focus on the developing methods combining 3D printing of patient-specific phantoms and sensors for measuring the mechanical parameters of flow in real-time and overcoming the pitfalls of CFD.