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.
Papers in conference proceedings
|1.||Automatic segmentation of the intracranial volume in fetal MR images. In: MICCAI Workshop on Fetal and InFant Image analysis (FIFI 2017), 2017.|