Spinal Cord Toolbox
 | This article needs additional citations for verification. (July 2016) |
| Developer(s) | NeuroPoly |
|---|---|
| Stable release | 3.0.3
/ 26 April 2017 |
| Repository | github |
| Written in | Python |
| Operating system | Linux, Mac OS X |
| Size | 140 MB |
| Available in | English |
| Type | Digital imaging |
| License | MIT Licence |
Spinal Cord Toolbox (SCT) [1] is a suite of analysis tools optimized for spinal cord images acquired with magnetic resonance imaging. Main features include segmentation, registration and calculation of anatomical metrics.
Features
[edit]- Propseg Automatic spinal cord segmentation.[2]
- The PAM50 template is an anatomical template of the spinal cord that covers the full spinal cord and brainstem and is available for T1-, T2- and T2*-weighted MRI contrasts. The PAM50 template includes probabilistic segmentation of white matter, gray matter, CSF as well as probabilistic atlases of gray matter subregions and white matter pathways.[3][4] The template also include segmentation of spinal levels for automatic assessment of metrics at specific locations.[5]
- A White Matter atlas including 29 partial volume masks of which matter tracts.[6]
References
[edit]- ^ De Leener B, Lévy S, Dupont SM, Fonov VS, Stikov N, Louis Collins D, et al. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. Neuroimage. 2017;145: 24–43. doi:10.1016/j.neuroimage.2016.10.009
- ^ De Leener B, Cohen-Adad J, Kadoury S. Automatic segmentation of the spinal cord and spinal canal coupled with vertebral labeling. Medical Imaging, IEEE Transactions on (in press). DOI: 10.1109/TMI.2015.2437192
- ^ Fonov V, Le Troter A, Taso M, De Leener B, Leveque G, Benhamou M, Sdika M, Benali H, Pradat PF, Collins DL, Callot V, Cohen-Adad J. Framework for integrated MRI average of the spinal cord white and gray matter: The MNI-Poly-AMU template. Neuroimage 2014. DOI: 10.1016/j.neuroimage.2014.08.057
- ^ De Leener B, Fonov V, Collins DL, Callot V, Stikov N, Cohen-Adad J. PAM50: Multimodal template of the brainstem and spinal cord compatible with the ICBM152 space. Proceedings of the 25th Annual Meeting of ISMRM, Honolulu, USA. 2017.
- ^ Cadotte DW, Cadotte A, Cohen-Adad J, Fleet D, Livne M, Mikulis D, Fehlings MG. Resolving the anatomic variability of the human cervical spinal cord: a solution to facilitate advanced neural imaging. Proceedings of the 22nd Annual Meeting of ISMRM, Milan, Italy 2014:1719.
- ^ Lévy S, Benhamou M, Naaman C, Rainville P, Callot V, Cohen-Adad J. White matter atlas of the human spinal cord with estimation of partial volume effect. Neuroimage. 2015;119: 262–271. doi:10.1016/j.neuroimage.2015.06.040
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