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). 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 gyrification5 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. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11299546 ↩
Ashburner J, Friston KJ (Jun 2000). "Voxel-based morphometry--the methods". NeuroImage. 11 (6): 805–21. doi:10.1006/nimg.2000.0582. PMID 10860804. /wiki/Doi_(identifier) ↩
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. /wiki/Doi_(identifier) ↩
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. /wiki/Doi_(identifier) ↩
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. /wiki/Doi_(identifier) ↩