Computational anatomy toolbox
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| This article, Computational anatomy toolbox, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
| This article, Computational anatomy toolbox, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
Comment: This should be written as an encyclopedia article, not an advertisement. There is no need to have a section about features, applications, "integration with SPM" unless these claims have been vetted and significantly covered by independent, reliable sources, in which case it should be presented in the article neutrally. Utopes (talk / cont) 17:45, 26 August 2024 (UTC)
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| Developer(s) | Structural Brain Mapping Group Christian Gaser Robert Dahnke |
|---|---|
| Stable release | 12.9
/ 25 May 2024 |
| Repository | github |
| Written in | Matlab, C |
| Operating system | Linux, macOS, Windows |
| Platform | MATLAB, SPM |
| Type | Neuroimaging data analysis |
| License | GNU_General_Public_License |
| Website | neuro-jena |
CAT (Computational Anatomy Toolbox) is a free and open source software package used for the analysis of structural brain imaging data, in particular magnetic resonance imaging (MRI)[1]. Developed by Christian Gaser and Robert Dahnke of the Structural Brain Mapping Group at the University of Jena, CAT is an extension of the SPM software.
Functionality
CAT provides tools for voxel-based morphometry (VBM)[2], cortical thickness[3], folding[4], and gyrification[5] analysis, as well as volume or surface estimates within predefined brain regions of interest.
Related software
References
- ^ Gaser C, Dahnke R, Thompson PM, et al. (Aug 2024). "CAT: a computational anatomy toolbox for the analysis of structural MRI data". GigaScience. 13: giae049. doi:10.1093/gigascience/giae049. PMC 11299546. PMID 39102518.
- ^ Ashburner J, Friston KJ (Jun 2000). "Voxel-based morphometry--the methods". NeuroImage. 11: 805–21. doi:10.1006/nimg.2000.0582. PMID 10860804.
- ^ Dahnke R, Yotter RA, Gaser C (Jan 2013). "Cortical thickness and central surface estimation". NeuroImage. 65: 336–48. doi:10.1016/j.neuroimage.2012.09.050. PMID 23041529.
- ^ Yotter RA, Nenadic I, Ziegler G, et al. (Jun 2011). "Local cortical surface complexity maps from spherical harmonic reconstructions". NeuroImage. 56 (3): 961–73. doi:10.1016/j.neuroimage.2011.02.007. PMID 21315159.
- ^ Luders E, Thompson PM, Narr KL, et al. (Jul 2009). "A curvature-based approach to estimate local gyrification on the cortical surface". NeuroImage. 29 (4): 1224–30. doi:10.1016/j.neuroimage.2005.08.049. PMID 16223589.