Visualizing Regions of Interest for Stroke-Associated Depresson
CONTACT
Paraag Gupta
Paraag plans to pursue medicine after graduation. He hopes to one day contribute to the field of computational diagnostics, so he enjoyed getting a taste of what projects in that field entail and what kind of skills may be useful to him in the future. His contributions to the project include managing the pacing and objectives of the team, performing the co-registration and normalization of the images, and performing post-processing of results into a heatmap.
Chief
Engineer
Michael Miller
Michael is a Senior in Biomedical Engineering who will graduate in May 2019. After graduation, he will attend The Pennsylvania State University to pursue a Ph.D. in Bioengineering. His motivation in this project comes from a dedication to improving the current standard of mental health care by making proactive treatments a more viable option. Michael's focus throughout the project was implementation of software tools to ensure speed and specificity of lesion segmentation.
Engineer
Sophia Podolinski
Sophia is a senior from Morgantown, West Virginia and will be graduating Spring 2019 with a degree in biomedical engineering. Sophia plans on going to medical school to become a pediatric doctor after taking a gap year. Her interest in this project comes from her desire to help others and make advancements in medicine as well as patient care. Sophia worked on gathering initial data, statistical analysis for this project and final images for the patient walkthrough as well as a short video.
Engineer
Aishwarya Vijay
Aishwarya is a senior Biomedical Engineering major from Morgantown and will be graduating in May 2019! After graduation, she plans to pursue her Masters of Business Administration and eventually attend Medical School. Her interest in this project stems from an awareness of mental health issues that are experienced by people worldwide, but also how these are impacted as a result of additionally having a physical illness requiring medical treatment. In gathering and analyzing patient data, Aishwarya hopes that common impacted brain regions can be identified and used to assist as a risk assessment tool for stroke (and potentially other) patients in the future.