Current Challenges in Imaging and Modeling Blood Flow Dynamics in Cerebral Arteries
MIE Department Seminar
February 8, 2022
11:00 AM - 12:00 PM
Location
Online via Zoom at https://uic.zoom.us/j/87181592641?pwd=YU5Wcllmc1VuQlVxc2pIcnE3RC9WQT09
Address
Chicago, IL 60607
Calendar
Download iCal FilePresenter: Vitaliy L. Rayz, PhD, Purdue University
Location: Zoom
Meeting ID: 871 8159 2641
Passcode: 02h4Kq5X
Abstract: Blood flow dynamics plays an important role in vascular health and disease as blood vessels adapt to flow forces acting on the walls. Reliable quantification of relevant flow metrics can provide valuable data for predicting vascular disease progression or for treatment planning. Blood flow velocities can be measured in vivo with phase-contrast MRI velocimetry (4D Flow MRI) or simulated with patient-specific CFD models. The 4D Flow MRI is capable of measuring three-dimensional velocity fields through the cardiac cycle, however its limited spatiotemporal resolution and measurement noise may affect the accuracy of the resulting flow metrics. CFD can provide superior resolution, but the reliability of the simulations depends on modeling assumptions and uncertainty of the vascular geometries and boundary conditions obtained from the imaging data. While numerous studies demonstrated the capabilities of image-based CFD models in capturing patient-specific flow fields, their translational value for clinical practice remains controversial. In this talk we will consider the limitations of the current imaging and modeling approaches for subject-specific analysis of cerebral flow dynamics and discuss what further developments are needed for the flow quantification to be adopted in clinical practice. In particular, the applications of alternative flow quantification modalities to risk assessment of cerebral aneurysms will be presented. A few cases where image-based CFD simulations were used to provide valuable information to clinicians will be described to demonstrate the potential of these models to provide guidance in both diagnostics and treatment of cerebral aneurysms. Extension of these image-based flow analyses to other neurovascular diseases will be also briefly discussed.
Speaker Bio: Dr. Vitaliy Rayz’s research is focused on blood flow modeling and analysis to improve diagnostics and treatment of cardiovascular and neurovascular diseases. Rayz earned his PhD in mechanical engineering from the University of California, Berkeley in 2005. He joined the Vascular Imaging Research Center at the University of California San Francisco (UCSF) as a postdoctoral fellow and then, after receiving a K25 NIH award, worked as a research scientist at the UCSF Radiology department. In 2014, Rayz received a joint appointment as the faculty in the college of engineering at the University of Wisconsin - Milwaukee and in neurosurgery at the Medical College of Wisconsin. In 2017, Rayz joined Weldon School of Biomedical Engineering at Purdue University, where he also holds a courtesy appointment in mechanical engineering. Rayz collaborates with clinicians and scientists at the UC San Francisco, Northwestern University, Barrow Neurological Institute and IU School of Medicine. His research projects on multi-modality approach to cerebral flow analysis and prediction of cerebral aneurysm growth are funded by the NIH. He also is involved in NIH-funded projects on developing chemofiltration devices for removing chemotherapy drugs from blood. Recently, Rayz expanded his use of image-based flow modeling to analysis of cerebrospinal fluid flow and biomechanics of cerebral ventricles. His research resulted in more than 35 journals publications as well as presentations at numerous national and international conferences. He is actively involved in developing biomedical engineering curriculum as the director of the BME undergraduate program.
Date posted
Jan 27, 2022
Date updated
Jan 27, 2022