Given the current emphasis on research into human neurodegenerative diseases, an effective computing approach for the analysis of complex brain morphological changes would represent a significant technological innovation. The availability of mouse models of such disorders provides an experimental system to test novel approaches to brain image analysis. Here we utilize a mouse model of a neurodegenerative disorder to model changes to cerebellar morphology during the postnatal period, and have applied the GeoEntropy algorithm to measure the complexity of morphological changes.