New Release
We have now released the latest version of BrainSuite (denoted as BrainSuite09). It is available for download on the LONI website here. This release includes both the graphical user interface version, available for Windows platforms, and command line versions of the the routines used for cortical surface extraction (available for Windows, Mac OSX, and Linux). The GUI can also be run on Linux and Mac OSX using WINE , Darwine (Mac OSX), or Crossover (commercial).
Documentation and Support
We are currently updating this site to provide documentation for users of BrainSuite. If you would like to ask any questions about how to use any of BrainSuite’s features or if you would like to report a bug, please do so in our BrainSuite Support Forum.
Development
BrainSuite is developed by David Shattuck and is produced and distributed as a collaborative project between the Laboratory of Neuro Imaging at the University of California Los Angeles (Director: Dr. Arthur W. Toga) and the Biomedical Imaging Research Group at the University of Southern California (Director: Dr. Richard M. Leahy). The work is supported by grants from the National Institute of Biomedical Imaging and Bioengineering (R01 EB002010, PI: R.M. Leahy) and from the National Center for Research Resources (P41 RR013642, PI: A.W. Toga).
Contributors to the development of the methods embodied in this software include: David W. Shattuck, Anand A. Joshi, Belma Dogdas, Stephanie Sandor-Leahy, Bijan Timsari, Paul M. Thompson and Richard M. Leahy.
Features
BrainSuite features include:
- Sophisticated visualization tools, such as MRI visualization in 3 orthogonal views (either seperately or in 3D view), and overlayed surface visualization of cortex, skull, and scalp
- Cortical surface extraction, using a multi-stage user friendly approach.
- Tools including brain surface extraction, bias field correction, voxel classification, cerebellum removal, and surface generation
- Topological correction of cortical surfaces, which uses a graph-based approach to remove topological defects (handles and holes) and ensure a tessellation with spherical topology
- Parameterization of generated cortical surfaces, minimizing a harmonic energy functional in the p-norm
- Skull and scalp surface extraction