This dataset includes the first in vivo, population-averaged Diffusion Tensor Imaging (DTI) Ovine Tractography Atlas (OTA), where the course of the main white matter fiber bundles of the ovine brain has been reconstructed. The OTA has been described in the related paper ‘In vivo Diffusion Tensor Magnetic Resonance Tractography of the Sheep Brain: An Atlas of the Ovine White Matter Fiber Bundles’ by Pieri et al. (2019) https://doi.org/10.3389/fvets.2019.00345. The OTA has been developed at the Neuroradiology Unit and Center of Excellence for High Field Magnetic Resonance (CERMAC), Vita-Salute San Raffaele University, Milan, Italy in the context of the EU’s Horizon EDEN2020 project as part of the work for Deliverable D2.3 Diffusion Database on Sheep.
DTI scans (1.5T Philips Achieva, b-value = 1000 s/mm2, 15 directions) from 10 adult female sheep ovis aries were analyzed and DTI deterministic tractography reconstruction of the corticospinal tract (CST), corpus callosum (CC), fornix (FX), visual pathway (VP), and occipitofrontal fascicle (OF) were obtained, bilaterally for all the animals. Binary masks of the tracts were then coregistered and reported in the space of a standard stereotaxic ovine reference system ('ovine_model_05.nii', Nitzsche B. et al., Front. Neuroanat. 9:69. https://doi.org/10.3389/fnana.2015.00069). Finally, these were combined across animals to obtain population probability masks for each tract, representing voxel- by-voxel probability of the presence of the tract in the 10 animals, thus ranged between 0 and 10.
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Please don't forget to cite this publication when using the Ovine Tractography Atlas:
Pieri V., Trovatelli M., Cadioli M., Zani D.D., Brizzola S., Ravasio G., Acocella F., Di Giancamillo M., Malfassi L., Dolera M., Riva M., Bello L., Falini A., & Castellano A. (2019). In vivo Diffusion Tensor Magnetic Resonance Tractography of the Sheep Brain: An Atlas of the Ovine White Matter Fiber Bundles. Front Vet Sci, 6(345), 345 https://doi.org/10.3389/fvets.2019.00345
Contact: castellano.antonella@hsr.it
This work has been carried out in the context of the EDEN2020 (Enhanced Delivery Ecosystem for Neurosurgery in 2020, www.eden2020.eu) project, that received funding from the European Union’s EU Research and Innovation programme Horizon 2020 under Grant Agreement No. 688279.