Canine

OBJECTIVES:  We here present an unbiased breed-averaged template including tissue propability maps, atlas labels as well as masks aligned with the template. The cohort included different breeds to enable an unbiased approach for post-processing.

METHODS: T2w datasets were acquired from 16 neurologically inconspicuous dogs of different breeds by 3T MRI. The datasets were averaged after initial preprocessing using linear and nonlinear registration algorithms as implemented in SPM8. TPM for gray (GM) and white matter (WM) as well as cerebrospinal fluid (CSF, and ventricles) were created. Different cortical, subcortical, medullary, and CSF regions were manually labeled to create a spatial binary atlas being aligned with the template. Overall, 21 brain regions were labeled using the segmented tissue classes of the brain template. Data are stored in NIFTI-format except for surfaces (.stl).

PUBLICATION: The following publications need to be referenced when using this atlas: 

Nitzsche, Bjoern, Boltze, Johannes, Ludewig, Eberhard, Flegel, Thomas, Schmidt, Martin J., Seeger, Johannes, Barthel, Henryk, Brooks, Olivia W., Gounis, Matthew J., Stoffel, Michael H., and Schulze, Sabine. A stereotaxic breed-averaged, symmetric T2w canine brain atlas including detailed morphological and volumetrical data sets. NeuroImage.2018. doi:10.1016/j.neuroimage.2018.01.066

LICENCE: The dataset is licensed under CC BY International 4.0 . You are free to share and adapt the data set, but required to give appropriate credit, provide a link to the license and indicate if changes were made.