Medical Image Processing for Stroke

Although the application date for this project is past, the project is still ongoing. You may still wish to contact this professor about other ways of getting involved with this work. Please attend an info session or contact email for more information.

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

Project Timeline

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

Typical Time Commitment
up to 40 hours per week
Desired Length of Commitment
Spring semester, with option to continue as summer internship/job


The Office of Undergraduate Research recommends that you attend an info session or advising before contacting faculty members or project contacts about research opportunities. We'll cover the steps to get involved, tips for contacting faculty, funding possibilities, and options for course credit. Once you have attended an Office of Undergraduate Research info session or spoken to an advisor, you can use the "Who to contact" details for this project to get in touch with the project leader and express your interest in getting involved.

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