Dr. Vitaliy Rayz

Areas of Research

Patient-specific analysis of blood flow in brain aneurysms, flow models based on magnetic resonance imaging, numerical simulation of blood flow through vascular devices.

Projects

Developing methodology for enhancing MRI flow measurements in blood vessels by using computational modeling data and prior knowledge of underlying flow physics. Experimental MRI measurements in flow phantoms are used as benchmark data for developing and validating the approach.

The Cardiovascular Flow Modeling Laboratory (CFM Lab) directed by Dr. Rayz is conducting image-based analysis of blood flow dynamics in order to improve diagnostics and treatment of cardiovascular disease. In this research, computational and experimental modeling is combined with medical imaging in order to provide patient-specific flow analysis. The CFM lab works in close collaboration with neurovascular surgeons and radiologist in several medical institutions, including University of California San Francisco, Northwestern University School of Medicine and the University of Lyon. In our studies, image-based computational fluid dynamics (CFD) models are used to determine hemodynamic variables related to vascular disease progression and predict flow changes that would result form alternative treatment options. These models provide clinicians with valuable quantitative data not available from medical imaging alone.

While the main focus of our studies is on numerical simulations of the flow in cerebral aneurysms, we are also involved in modeling blood flow in other vascular territories as well as in design and optimization of biomedical devices, such as a filtration device removing chemotherapy drugs from blood. Our research projects are primary funded by the National Institute of Health.

Recruitment Needs

Looking for a highly motivated student with background in medical imaging and/or flow modeling to join our lab in fall 2020

Please feel free to contact Dr. Rayz directly.

Email: vrayz@purdue.edu

https://engineering.purdue.edu/CFML