Projects:AutomatedShapeModelConstruction

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Objective: We are developing a new method for automatically constructing shape models, including defining boundary correspondences on shapes in a population. This method can be directly applied to segmentations of brain structures from structural MRI.

Progress: We have implemented a software tool to automatically construct shape models from an input of several binary segmentations. This method finds boundary correspondences by creating the most efficient probability distribution for the population of input shapes. The shape models output by our method can then be used to compare differences in brain structure shape between healthy controls and schizophrenic patients. We are investigating the power of this method in statistical group comparisons.

Key Investigators:

• Utah: Joshua Cates, Miriah Meyer, Tom Fletcher, Ross Whitaker
• Harvard PNL: Sylvain Bouix, Marc Niethammer, Doug Marchant, Adam Cohen, Mark Dreusicke, Jim Levitt, Martha Shenton