Neuroscience Program

Juan Cebral

Juan Cebral

Juan Cebral

Associate Professor, Center for Computational Fluid Dynamics, Deparment of BioEngineering

Patient-specific computational fluid dynamics modeling of blood flows in cerebral arteries and aneurysms; understanding the role of hemodynamics in the mechanisms responsible for aneurysm initiation, growth and rupture; risk assessment; and medical device modeling (flow diverters).

Juan R. Cebral is a Professor at the Bioengineering Department, Volgenau School of Engineering, and a member of the Center for Computational Fluid Dynamics at George Mason University, in Fairfax, Virginia, USA. He finished his undergraduate studies in Physics at the University of Buenos Aires, Argentina in 1991 and received his PhD in Computational Sciences and Informatics from George Mason University in 1996. He conducts research on image-based computational modeling of cerebral blood flow and aneurysms in close collaboration with clinicians from Inova Fairfax Hospital. He has co-authored over 80 journal papers, 10 book chapters, and over 160 conference papers. His research has been funded by the National Institutes of Health, the American Heart Association, the Whitaker Foundation as well as industrial partners such as Philips Healthcare and Boston Scientific.

Current Research

We are collaborating with Dr. Anne Robertson from the University of Pittsburgh and Dr. Khaled Aziz from Allegheny General Hospital on a project that aims at connecting aneurysm hemodynamics to the structure and mechanical properties of the aneurysm wall, using a combination of image-based computational modeling, multi-photon microscopy imaging of human aneurysm tissue harvested during surgery, and mechanical testing. This work is supported by the NIH through an R21 grant.

We are collaborating with Dr. David Kallmes and Dr. Ramanathan Kadirvel from the Mayo Clinic on a project that studies the relationship between the blood flow dynamics and the thrombosis and tissue growth in cerebral aneurysms treated with flow diverting devices. In this project we use a combination of multi-modality imaging, image-based computational modeling, and histology analysis of experimental aneurysms created in rabbits.

 

Selected Publications

Robertson A, Duan X, Aziz K, Hill M, Watkins S, Cebral JR, “Diversity in the strength and structure of unruptured cerebral aneurysms”, Ann. Biomed. Eng. 2015 (DOI 10.1007/s10439-015-1252-4)– in press.

Cebral JR, Raschi M, “Suggested connections between risk factors of intracranial aneurysms: a review”, Ann. Biomed. Eng. (DOI: 10.1007/s10439-012-0723-0) 2013 – in press

Mut F, Cebral JR, “Effects of flow diverting device oversizing on hemodynamics alteration in cerebral aneurysms” Am. J. Neuroradiology 33(10):2010-2016, 2012 (DOI: 10.3174/ajnr.A3080).

Cebral JR, Mut F, Weir J, Putman CM, “Quantitative characterization of the hemodynamic environment in ruptured and unruptured brain aneurysms”, AJNR Am J Neuroradiol: 32(1), 145-152, 2011 (DOI 10.3174/ajnr.A2419)


Cebral JR, Mut F, Raschi M, Scrivano E, Lylyk P, Putman CM, “Aneurysm rupture following treatment with flow diverting stents: computational hemodynamics analysis of treatment”, AJNR Am J Neuroradiol: 32(1), 27-33, 2011 (DOI 10.3174/ajnr.A2398)

Cebral JR, Castro MA, Burgess JE, Pergolizzi R, Putman CM, “Characterization of Cerebral Aneurysm for Assessing Risk of Rupture Using Patient-Specific Computational Hemodynamics Models” AJNR Am J Neuroradiol, 26: 2550-2559, 2005.

Courses Taught

BENG 499/590 - Biofluid Dynamics

CSI 701 - Foundations of Computational Sciences
CSI 702 - High Performance Computing
CSI 720 - Fluid Mechanics