1) MAVEHA: Automated Fetal and Neonatal Movement Assessment for Very Early Health Assessment

Fetal movements are an important indicator of a developing baby’s health and particularly of brain development. However, fetal movements are not commonly assessed clinically and no automated tracking or analyses of movements are performed. Ongoing research in our group has developed algorithms to track fetal leg movements, and pilot data indicates that aspects of fetal movements may correlate with healthy or unhealthy brain development. This project utilizes enhanced automated tracking methods for fetal movements from fetal cine MRI data, and correlate the movements with normal and abnormal brain development and is researched in close collaboration with Dr Niamh Nowlan from the Department of Bioengineering at Imperial.