Abstract #3481
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
Arsene Longin Ella 1 and Matthieu Keller 1
1
Department of Reproductive Physiology and
Behavior, INRA - Centre Val de Loire UMR 7247 - CNRS -
University of Tours IFCE, Nouzilly, Tours, France
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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