
The gold standard in automated brain MRI morphometry and surface-based analysis.
FreeSurfer is an industry-leading open-source software suite for the processing and analysis of human brain MRI images. Architecturally, it is designed to automate the reconstruction of the brain's cortical surface from T1-weighted structural images, providing precise volumetric segmentations of subcortical structures and parcellations of the cerebral cortex. By 2026, FreeSurfer has solidified its market position by integrating deep-learning-based acceleration modules like FastSurfer, which reduces processing time from hours to minutes while maintaining compatibility with the classic FreeSurfer longitudinal stream. The software utilizes a spherical coordinate system for surface-based registration, enabling high-accuracy inter-subject comparisons that account for individual folding patterns. It is widely used in large-scale clinical trials and population-based studies (e.g., UK Biobank) to quantify biomarkers for neurodegenerative diseases, psychiatric disorders, and neurodevelopmental trajectories. Its extensive command-line interface and C++/Python-based infrastructure allow for seamless integration into high-performance computing (HPC) environments and cloud-native neuroimaging pipelines.
A fully automated sequence performing motion correction, skull stripping, white matter segmentation, and surface tessellation.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses a common within-subject template to reduce variability and increase sensitivity in detecting brain atrophy over time.
Tracts Constrained by Underlying Anatomy; a tool for automated global probabilistic tractography using DTI data.
A toolset for the analysis of PET data integrated with structural MRI, including partial volume correction.
Maps individual brain surfaces to a spherical atlas (fsaverage) based on sulcal and gyral patterns.
Deep learning-based alternative that mimics FreeSurfer outputs in a fraction of the time using GPU acceleration.
High-resolution segmentation of hippocampal subfields and thalamic nuclei using Bayesian inference.
Measuring subtle thinning of the entorhinal cortex over multiple years.
Registry Updated:2/7/2026
Perform mixed-effects modeling in R/MATLAB
Characterizing surface area expansion during adolescence.
Quantifying gray matter atrophy in the presence of white matter lesions.