Modelling morphological variability of the hippocampus using manifold learning and large deformations
Abstract
The hippocampus is a structure of the temporal lobe of the brain which plays an important role in memory processes and in many neuropsychiatric disorders, including Alzheimer's disease, epilepsy and schizophrenia. Here, we present a method to infer the anatomical variability of the hippocampus, based on the LDDMM (Large Deformation Diffeomorphic Metric Mapping) framework and a manifold learning approach to capture the geometry of the population in the space of shapes.
Domains
Imaging
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Origin | Files produced by the author(s) |
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Format | Other |
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