Computational methods for clinically meaningful interpretation of 4D Flow MRI.
Sebastian Cohn is an MD-PhD student at Northwestern University developing computational methods for structured analysis of difficult cardiovascular MRI data, especially 4D Flow MRI.
Research Focus
Difficult flow imaging, structured computation, and clinically useful outputs.
Clinical problem
Aortic dissection and other cardiovascular flow patterns can remain clinically important even when anatomy alone is inconclusive.
Difficult modality
4D Flow MRI provides time-resolved, volumetric flow data, but the relevant signal is distributed across anatomy, direction, and the cardiac cycle.
Computational direction
The goal is to convert complex flow data into structured outputs rather than stopping at qualitative visualization.
Future direction
Structured imaging outputs can support future agentic interpretation, cohort-scale analysis, and patient-level models.
Current work
4D Flow MRI in aortic dissection
Applying 4D Flow MRI to aortic dissection and deriving structured measurements from complex flow data.
