Symmetric diffeomorphic image registration: evaluating automated labeling of elderly and neurodegenerative cortex and frontal lobe

Authors:
Brian B. Avants;Murray Grossman;James C. Gee
Affiliations:
Penn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA;Penn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA;Penn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA
Venue:
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
Year:
2006

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Abstract

One of the most challenging problems in modern neuroimaging is detailed characterization of neurodegeneration. Quantifying spatial and longitudinal atrophy patterns is an important component of this process. These spatiotemporal signals will aid in discriminating between related diseases, such as frontotemporal dementia (FTD) and Alzheimer's disease (AD), which manifest themselves in the same at-risk population. We evaluate a novel symmetric diffeomorphic image registration method for automatically providing detailed anatomical measurement over the aged and neurodegenerative brain. Our evaluation will compare gold standard, human segmentation with our method's atlas-based segmentation of the cerebral cortex, cerebellum and the frontal lobe. The new method compares favorably to an open-source, previously evaluated implementation of Thirion's Demons algorithm.