How does MRI work, why does it take so long, and how can we speed it up? In this teaching demonstration, we'll answer these questions in the context of a lecture in an image processing or computational imaging course. We'll discuss how a magnetic field can produce signals from our body and how we can convert those signals into an image. This lecture provides a view of what is being done in clinics and research labs to speed up MRI in an effort to reduce healthcare costs, increase patient comfort, and open the doors to new live-saving imaging techniques.
Pat Virtue is a Ph.D. candidate in Electrical Engineering and Computer Sciences at the University of California, Berkeley, specializing in deep learning, computer vision, and medical imaging. He teaches the Introduction to Artificial Intelligence course at UC Berkeley, and prior to graduate school, he researched and developed medical image applications as a software engineer at GE Healthcare.