Abstract
The overall aim of this project is to ascertain the relationship between diffusion MRI data acquired in vivo, and histology as assessed using ex vivo methods, to enable the use of non-invasive MRI methods for in vivo histology. We are currently acquiring high quality ex vivo diffusion MRI data and matching 3D histology from the same animal. The aim of this proposal is to set up and validate the image analysis techniques necessary to process the images, including artifact correction and image co-registration; extend the analysis to in vivo dataset; and apply machine learning approaches to identify relevant empirical relationships.
References
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