Home / Research Library / CAT: a computational anatomy toolbox for the analy...
🤖 Artificial Intelligence OpenAlex

CAT: a computational anatomy toolbox for the analysis of structural MRI data

📅 January 1, 2024 👤 Christian Gaser, Robert Dahnke, Paul M. Thompson et al. 📖 GigaScience 📊 808 citations

🤖 Plain-English Summary

A large range of sophisticated brain image analysis tools have been developed by the neuroscience community, greatly advancing the field of human brain mapping. Notably, CAT incorporates multiple quality control options and covers the entire analysis workflow, including the preprocessing of cross-sectional and longitudinal data, statistical analysis, and the visualization of results.

🔑 Key Findings

  • Here we introduce the Computational Anatomy Toolbox (CAT)-a powerful suite of tools for brain morphometric analyses with an intuitive graphical user interface but also usable as a shell script.
  • CAT is suitable for beginners, casual users, experts, and developers alike, providing a comprehensive set of analysis options, workflows, and integrated pipelines.
  • The available analysis streams-illustrated on an example dataset-allow for voxel-based, surface-based, and region-based morphometric analyses.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

Read the full paper
Access the original peer-reviewed research via OpenAlex.

View on DOI ↗

📋 Article Details

Category 🤖 Artificial Intelligence
Published Jan 01, 2024
Journal GigaScience
Authors Christian Gaser, Robert Dahnke, Paul M. Thompson, Florian Kurth, Eileen Luders
DOI 10.1093/gigascience/giae049
Citations 808
Source OpenAlex

More 🤖 Artificial Intelligence Research