In extremely preterm infants, brain growth is disrupted and an essential part of its development takes place ex utero. Consequently, over 50% of these infants exhibit cognitive disabilities and behavioral problems. In this project, the effect of nutrition supplements on brain development in preterm infants will be evaluated. Using techniques from the field of medical image analysis and machine learning, MR images allow computation of quantitative descriptors measuring brain tissue volumes and cortical folding that may provide information about brain development in extremely preterm infants using MR imaging at term-equivalent age.
|1.||Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities . International Society for Magnetic Resonance in Medicine, 27th Annual Meeting & Exhibition, 2019