Seminar for Neurotrauma and Diseases, Wednesday, April 3

Event Date: April 3, 2024
Hosted By: Center for Paralysis Research
Time: 4:00 p.m.
Location: DLR 131 and Zoom
Priority: No
School or Program: Non-Engineering
College Calendar: Show
Vitaliy Rayz
Vitaliy Rayz, Associate Head of Academic Programs, BME and Associate Professor of Biomedical Engineering and Mechanical Engineering
Vitaliy Rayz, Associate Head of Academic Programs, BME Purdue will present “Image-Based Models of Cerebral Flow Dynamics and Biomechanics” as part of the Seminar for Neurotrauma and Diseases on Wednesday, April 3 at 4:00 p.m. in DLR 131 and via Zoom.

Abstract:  The flow dynamics of neurofluids – blood and cerebrospinal fluid (CSF) – plays an important role in brain health and function. Abnormal blood flow is a hallmark of cerebrovascular diseases such as intracranial atherosclerotic disease or aneurysms. Impaired CSF flow and transport are implicated in neurodegenerative and neurodevelopmental diseases and disorders. Reliable quantification of relevant flow metrics can provide valuable data for predicting neurovascular or neurodegenerative disease progression or for treatment planning. Computational fluid dynamics (CFD) models are traditionally used to simulate subject-specific flow fields. However, their reliability depends on modeling assumptions and the uncertainty of the geometries and boundary conditions obtained from medical imaging data. Alternatively, flow velocities can be measured in vivo with three-directional phase-contrast MRI velocimetry (4D Flow MRI), but its limited spatiotemporal resolution and measurement noise may affect the accuracy of the resulting flow metrics. In this talk we will discuss the limitations of the current imaging and modeling approaches for subject-specific analysis of cerebral flow dynamics and present a framework for error analysis of 4D flow MRI measurements based on principles of flow physics and medical imaging. We will also consider a 4D flow augmentation approach that utilizes deep learning networks constrained with flow physics equations. Finally, we will discuss quantification of biomechanical stress in brain parenchyma resulting from cardiovascular pulsatility or traumatic brain injury.

Bio:  Dr. Rayz specializes in image-based flow modeling to advance the diagnostics and treatment of neurovascular disease. He earned his PhD in Mechanical Engineering from the University of California, Berkeley in 2005. Dr. Rayz started his career as a Research Scientist in the Radiology Department at UC San Francisco before accepting a joint faculty position in Neurosurgery at the Medical College of Wisconsin and Engineering in UW – Milwaukee. In 2017, Dr. Rayz joined the Weldon School of Biomedical Engineering at Purdue, with a courtesy appointment in Mechanical Engineering. Dr. Rayz’ laboratory works on interdisciplinary projects with several medial centers. His research has enjoyed uninterrupted support from the National Institutes of Health for over 15 years. Currently, Dr. Rayz is the lead PI on the multi-institutional project aiming to utilize MRI flow measurements to improve risk stratification of cerebral aneurysms. He has also expanded his research to the analysis of CSF flow and cerebral biomechanics., Dr. Rayz’ research has resulted in 48 journal publications as well as presentations at numerous conferences. Additionally, Dr. Rayz serves as the Weldon School Associate Head of Academic Programs and leads the effort on BME curriculum redesign and integration with the BME program in Indianapolis.

This seminar is sponsored by the Purdue Center for Paralysis Research and Plexon.

Zoom link:  http://bit.ly/42hhhJG (meeting ID: 923 5486 2062, Passcode: CPR)

 

2024-04-03 16:00:00 2024-04-03 17:00:00 America/Indiana/Indianapolis Seminar for Neurotrauma and Diseases, Wednesday, April 3 Vitaliy Rayz, Associate Head of Academic Programs, BME Purdue will present "Image-Based Models of Cerebral Flow Dynamics and Biomechanics" as part of the Seminar for Neurotrauma and Diseases on Wednesday, April 3 at 4:00 p.m. in DLR 131 and via Zoom. DLR 131 and Zoom