The Song Lab

We use high-spatial resolution vessel wall MR and CT imaging to visualize the site of vascular injury, the vessel wall, in patients with cerebrovascular diseases. Our patient-centered outcomes and effectiveness research is focused on achieving high diagnostic accuracy with neuroimaging.

To practice precision medicine, accounting for sex and gender is the first step. We strive to better understand how sex as a biological variable contributes to stroke mechanisms as this knowledge may guide personalized treatment strategies.

Being at the intersection of image processing, pattern recognition, and computer vision, we develop automated tools using machine learning to uncover hidden patterns in data. This data-driven approach is used to identify biomarkers of cerebrovascular diseases.