Understanding normal and abnormal patterns of large scale tissue growth in developing humans is a key area of research, with many applications in clinical and basic sciences. This talk will describe the recent development of techniques that allow the formation and analysis of high resolution 3D MRI data of the developing human fetal brain in utero. The talk will describe the basic challenges to imaging tissue structure in the human fetus and current clinical diagnostic imaging techniques being used. A review of algorithms to form true 3D MR images from clinically acquired imaging data will be presented. These approaches are aimed at estimating and correcting for fetal motion occurring during MR imaging, allowing the creation of a set of motion corrected data points from which we can form 3D images of the brain tissue. Approaches to automated tissue segmentation of developing brain tissue types from reconstructed 3D images will be described. These are aimed at delineating both developed and transient tissue structures present in fetal brain anatomy. Finally, methodology to analyse the tissue volume, cortical thickness and surface folding will be described, with preliminary results on fetal and neonatal brain anatomy.