Past Event: Oden Institute Seminar

Image-based Modeling of Hemodynamics: Applications to Cardiovascular Disease Research, Surgical Planning and Diagnostics

C. Alberto Figueroa, Edward B. Diethrich M.D. Professor in Biomedical Engineering and Vascular Surgery, University of Michigan

Abstract

Despite great initial promise and numerous academic efforts, the use of image-based, patient-specific computer modelling of hemodynamics in clinical settings has been limited. Cardiovascular diagnosis still relies on simple anatomic metrics based on imaging and invasive measurements. Disease research relies heavily on animal models, which often exhibit dramatic differences in physiology and pathophysiology when compared to humans. Medical device manufacturers rely mostly on in-vitro models to investigate the anatomic variations, arterial deformations, and biomechanical forces needed for the design of medical devices. Lastly, computer-guided surgical planning has been used exclusively in academic medical centers, and is critically hampered by un-optimized workflows, uncertainties in the data, and lack of cross-disciplinary expertise between the engineering and medical teams. Our laboratory has over a decade of experience in conducting translational cardiovascular research embedded in clinical settings. During this time, we have trained nine clinical fellows in three different specialties -- cardiac surgery, vascular surgery, and cardiology -- in the use of advanced tools for image-based computational analysis of hemodynamics. In this talk, we will provide an overview of the translational research performed by such clinical fellows. Specific examples will include: - Computer-guided surgical planning for Fontan correction surgeries: An overview of different cases performed at the University of Michigan Mott Children’s Hospital will be presented and discussed. - Biomechanics of complex Thoracic Endovacular Aortic Repair (TEVAR) cases. We will present comparative analyses of different fenestrated devices for Zone 0 repair, as well as different case studies of complex hybrid aortic repairs. - The use of computational and machine learning tools to develop optimized workflows for near real-time estimation of arterial occlusive disease, specifically coronary artery disease. This is a Joint Seminar: Oden Institute/Department of Biomedical Engineering/Dell Medical School (Department of Surgery and Perioperative Care and Department of Internal Medicine, Division of Cardiology) BIO Dr. C. Alberto Figueroa received his PhD in Mechanical Engineering at Stanford University, where he developed computational methods fluid structure interaction simulation of hemodynamics. His first academic appointment was a King’s College London in the UK, where he was Senior Lecturer in the Division of Biomedical Engineering and Imaging Sciences. Dr. Figueroa is currently the Edward B. Diethrich M.D. Professor in Biomedical Engineering and Vascular Surgery at the University of Michigan. His laboratory is focused on three main areas: 1) developing tools for advanced modeling of blood flow. His group develops the modeling software CRIMSON (http://www.crimson.software); 2) studying the link between abnormal biomechanical stimuli and cardiovascular diseases such as hypertension and thrombosis; 3) simulation-based surgical planning to aid with the optimal planning of cardiovascular surgeries. Note: Please join this Zoom seminar online with the "Audio Only" function (no video)