Computer vision methods for head motion estimation in MRI

This project will develop and validate computer vision and signal-processing methods using in-scanner video, real-time head motion tracking and structural MRI to quantify and correct for head motion during MRI. The work will focus on designing approaches to estimate head pose and motion and to evaluate their impact on MRI data quality. This project would be well suited to students with a background in physics, engineering, data science or mathematics.