Men and women experience stroke differently. There is currently a knowledge gap in how to best select patients for ischemic stroke treatment while not withholding treatment to those who could still benefit. Filling this gap is an urgent need and could personalize the definition of treatment windows, address the fact that infarct evolution is highly variable yet treatment paradigms are not, and increase the reach of beneficial treatments. Our central hypothesis is that collateral function, measured by standard of care perfusion imaging, is better and will have a unique relation to outcomes in women compared to men. Our hypothesis is based on our own previous work in sex differences.
Strong programming skills, (Python, R, C++, or Java)
Experience or coursework in image processing
Interest in neuroscience or stroke
This project can begin immediately and expand to fit the student's time available.
Imaging data organization and QA
Image assessment for lesion volume quantification
Statistical analysis
Student will be included in manuscript preparation
Potential for compensation exists
