Probabilistic atlas of the brain and spinal cord
This is a probabilistic atlas of the brain and cervical spinal cord for use in neuroimaging studies. The atlas encodes anatomical variability, as observed within a population of 368 healthy adults, in the form seven average-shaped tissue probability maps representing both neural and non-neural tissue types. The main purpose of this work is to provide the neuroimaging community with an integrated head and neck atlas, to be used for simultaneously segmenting and spatially normalizing brain and cervical cord MRI data using the segmentation algorithm of the SPM12 software.
A probabilistic atlas of the brain and spinal cord by Claudia Blaiotta, Patrick Freund, M. Jorge Cardoso and John Ashburner is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Blaiotta, Claudia, Patrick Freund, M. Jorge Cardoso, and John Ashburner. "Generative diffeomorphic atlas construction from brain and spinal cord MRI data." arXiv preprint arXiv:1707.01342 (2017).
Blaiotta, Claudia, M. Jorge Cardoso, and John Ashburner. "Variational inference for medical image segmentation." Computer Vision and Image Understanding 151 (2016): 14-28.
Ashburner, John, and Karl J. Friston. "Unified segmentation." Neuroimage 26, no. 3 (2005): 839-851.
The framework for computing tissue priors was developed by Claudia Blaiotta during her PhD, which was jointly funded by a UCL Impact Studentship and Balgrist University Hospital, Zurich. Work was supported by Wings for Life, Austria (WFL-CH-007/14), the International Foundation for Research in Paraplegia (IRP- P158), EU project (Horizon2020 `NISCI' grant agreement no 681094) and Clinical Research Priority Program (CRPP) Neurorehab UZH.
Brain and Spinal Cord Tissue Priors (1.0)