Neuroscientists present data in a 3D form in order to convey a better real world visualization and understanding of the localization of data in relation to brain anatomy and structure. The problem with the visualization of cortical surface of the brain is that the brain has multiple, deep folds and the resulting structural overlap can hide data interweaved within the folds. On one hand, a 2D representation can result in a distorted view that may lead to incorrect localization and analysis of the data. On the other hand, a realistic 3D representation may interfere with our judgment or analysis by showing too many details. Alternatively, a 3D generalization can be used to simplify the model of the brain in order to visualize the hidden data and smooth some of the details. This dissertation addresses the following research question: Is 3D generalization of a brain model a viable approach for visualizing neuroanatomical data?
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