We present an ovine, unbiased, population-averaged standard magnetic resonance imaging template brain volume that offers a common stereotaxic reference frame to localize anatomical and functional information in an organized and reliable way for comparison across individual sheep and studies. We have used t1w MRI volumes from a group of 14 normal adult sheep to create the template and a priori probability of cerebral gray (GM) and white (WM) matter as well as cerebrospinalfluid (CSF). Thus, the atlas does not rely on the anatomy of a single subject, but instead depends on nonlinear normalization of numerous sheep brains mapped to an average template image that is faithful to the location of anatomical structures.

 

Tools for registering a native MRI to the ovine space can be found at the website of the McConnel Brain Imaging Centre, Montreal Neurological Institute, McGill Faculty of Medicine, CA. (click [here] to open the website).

 

The following publications should be cite when using this atlas:

  • Nitzsche B, Frey S, Collins LD, Seeger J, Lobsien D, Dreyer A, Kirsten H, Stoffel MH, Fonov VS and Boltze J (2015). A stereotaxic, population-averaged T1w ovine brain atlas including cerebral morphology and tissue volumes. Front. Neuroanat. 9:69. doi: 10.3389/fnana.2015.00069
  • Fonov V, Evans AC, Botteron K, Almli CR, McKinstry RC& Collins DL (2011). Unbiased average age-appropriate atlases for pediatric studies. Neuroimage. 54 (1), 313–327.
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The ovine, unbiased, population-averaged MRI template and TPM for brain segmentation

Lesion and tissue probability maps for segmentation of the intracerebral hemorrhage in sheep model

We present a set of probabilistic maps for tissue and lesion segmentation of intracerebral hemorrhagic lesioned sheep brain. Lesion tissue probability maps (LTPM) were tested in SPM8/12 using 'New segmentation' routine.

The set include:

  • modified gray, white matter tissue class (considering lesion localisation)
  • lateral ventricles
  • subdural cerebrospinal fluid
  • lesion
  • outer brain tissue

The following publication should be cite when using the dataset:

  • Boltze J, Ferrara F, Hainsworth AH, Bridges LR, Zille M, Lobsien D, Barthel H, McLeod DD, Grasser F, Pietsch S, Schatzl AK, Dreyer AY and Nitzsche B. Lesional and perilesional tissue characterization by automated image processing in a novel gyrencephalic animal model of peracute intracerebral hemorrhage. J.Cereb.Blood Flow Metab. doi:10.1177/0271678X18802119

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