Preterm birth is often associated with impaired neurodevelopment. Quantitative evaluation of MR images may indicate the state and expected progression of brain development in preterm born infants and aid in the decision of future interventions. Segmentation of different tissue types in the brain is a prerequisite for obtaining such MRI measurements. In this project, we design methods for automatic and quantitative analysis of neonatal MR brain images in a longitudinally imaged cohort of preterm infants, focusing on brain tissue volumes and cortical morphology. This project is a collaboration between the Department of Neonatology and Image Sciences Institute at the UMC Utrecht.