Faster scanning with MRI reduces the need to anesthetize the subject and increases robustness to motion. This is especially important for young pediatric patients that have difficulty remaining still and fetuses that have no impetus to do so.

To scan faster, one can simply collect less data. However, reconstructing a high-quality image from less data is a challenge. In this work, I will be developing a novel method to accelerate MRI. The image is the result of a convex optimization problem that can be solved with existing fast algorithms.

We'll talk about all of this. I'm doing this for fun; hopefully it works out.