CONSTRUCTION OF MRI 3D HIGH RESOLUTION SHEEP BRAIN TEMPLATES AND THE USE OF OPTIMIZED PRIOR PROBABILITY MAPS TO EXTRACT STRUCTURES IN THE CENTRAL NERVOUS SYSTEM

Sheep is a developing animal model used in the field of neurosciences, but still rather limited in MRI where a brain template image does not exist. We proposed to: i) compute high resolution T1W and T2W in-vivo sheep brain templates and prior probability maps of GM, WM and CSF using optimized non-linear registration; ii) use prior maps to extract CNS structures. The goodness of fit throughout the registration led to build templates in accordance with single images. Non-linear prior maps allowed highlighting deep brain structures and opened the possibility to use them in the construction of a sheep brain atlas.

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