Headshot portrait of Sarah Divel - Bio-X Bowes Fellow
Bio-X Graduate Student Fellow

Awarded in 2016
Home Department: Electrical Engineering

Faculty Advisors: Norbert Pelc (Bioengineering, Radiology), Maarten Lansberg (Neurology), Max Wintermark (Radiology), and Sanjiva Lele (Aeronautics & Astronautics, Mechanical Engineering)

Research Title: Optimization of x-ray computed tomography for stroke assessment

Research Description: Each year, approximately 800,000 people in the United States have a stroke. Early diagnosis and tailored treatment of these strokes are critical for optimal patient outcome. To make treatment decisions, physicians often rely on computed tomography (CT) perfusion images and metrics extracted from the scan data. However, these metrics can vary greatly and have yet to be fully compared to a baseline. Sarah’s research aims to determine that baseline by simulating CT perfusion scans using realistic 3D digital brain models. Ultimately, this work will validate and optimize CT scans and increase physicians’ ability to prescribe a data-driven plan of care.


Sarah is a Senior Innovation Engineer at RapidAI.