Computational anatomy toolbox
{{Short description|Brain imaging software package}}
{{Infobox software
| title =
| name = Computational Anatomy Toolbox (CAT)
| logo =
| screenshot = CAT-Desktop.png
| collapsible =
| caption =
| author =
| developer = [https://neuro-jena.github.io Structural Brain Mapping Group]
Christian Gaser
Robert Dahnke
| released =
| discontinued =
| latest release version = 12.9
| latest release date = {{Start date and age|2024|05|25|df=yes/no}}
| latest preview version =
| latest preview date =
| repo = {{URL|https://github.com/ChristianGaser/cat12}}
| programming language = Matlab, C
| operating system = Linux, macOS, Windows
| size =
| language =
| genre = Neuroimaging data analysis
| license = GNU General Public License
| website = {{URL|https://neuro-jena.github.io/cat}}
| status =
}}
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).{{cite journal |vauthors=Gaser C, Dahnke R, Thompson PM, etal |date=Aug 2024 |title=CAT: a computational anatomy toolbox for the analysis of structural MRI data |journal=GigaScience |volume=13 |pages=giae049 |pmc=11299546 |pmid=39102518|doi=10.1093/gigascience/giae049}} 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),{{cite journal |vauthors=Ashburner J, Friston KJ |date=Jun 2000 |title=Voxel-based morphometry--the methods |journal=NeuroImage |volume=11 |issue=6 |pages=805–21 |pmid= 10860804 |doi=10.1006/nimg.2000.0582}} cortical thickness,{{cite journal |vauthors=Dahnke R, Yotter RA, Gaser C |date=Jan 2013 |title=Cortical thickness and central surface estimation |journal=NeuroImage |volume=65 |pages=336–48 |pmid=23041529|doi=10.1016/j.neuroimage.2012.09.050}} folding,{{cite journal |vauthors=Yotter RA, Nenadic I, Ziegler G, etal |date=Jun 2011 |title=Local cortical surface complexity maps from spherical harmonic reconstructions |journal=NeuroImage |volume=56 |issue=3 |pages=961–73 |pmid=21315159|doi=10.1016/j.neuroimage.2011.02.007}} and gyrification{{cite journal |vauthors=Luders E, Thompson PM, Narr KL, etal |date=Jul 2009 |title=A curvature-based approach to estimate local gyrification on the cortical surface |journal=NeuroImage |volume=29 |issue=4 |pages=1224–30 |pmid=16223589|doi=10.1016/j.neuroimage.2005.08.049}} analysis, as well as volume or surface estimates within predefined brain regions of interest.