Welcome
Welcome to the FreeSurferWiki. The FreeSurferWiki is the central documentation source for FreeSurfer.
NEW USERS: Please see the FreeSurferBeginnersGuide to get started.
If you would like to contribute to the Wiki you will need a WikiUserName. Please see GettingAccess to obtain a WikiUserName.
See FreeSurferSupport for information on mailing lists relating to FreeSurfer. General questions about FreeSurfer should be directed to the MailTo(freesurfer AT nmr DOT mgh DOT harvard DOT edu, freesurfer mailing list). Bugs reports should be directed to the MailTo(analysis-bugs AT nmr DOT mgh DOT harvard DOT edu, analysis-bugs mailing list).
Software
[wiki:DownloadAndInstall FreeSurfer download and install]
[wiki:MiscellaneousDownloads Miscellaneous downloads]
[wiki:InternalFreeSurferDistributions Information for internal (Martinos Center) users]
[wiki:FtpFileExchange Information on FTP file exchange]
[wiki:RemoteAccess Information on remote access]
Documentation
FreeSurferAnalysisPipelineOverview - Overview of the FreeSurfer analysis pipeline.
WorkFlows - Information on the how the FreeSurfer tools are used in a processing stream.
ArticlesSlidesAndPosters - Background describing the techniques used in the FreeSurfer tools, and their usage in research.
["Tutorials"] - A walk-through of a FreeSurfer work-flow, covering editing and troubleshooting techniques in-depth, as well as a group study example.
["ToolsAndCommands"] - GUI and command-line tool documentation.
FileFormats - Description of native FreeSurfer file formats, as well as external file formats used by FreeSurfer.
CoordinateSystems - Details on the voxel and RAS coordinate systems used in FreeSurfer.
DevelopersGuide - Information for developers of the FreeSurfer code-base (Martinos Center internal).
Support
FreeSurferSupport - Mailing lists and helplines which provide user support for FreeSurfer
WikiGuidelines
BeginnersGuides
Feedback
The FreeSurfer development team values your feedback. Please take a moment to visit the ["Priorities"] page and register your priority. Thanks.
You can add your comments or suggestions on our FeedBack page.
Acknowledgements
FreeSurfer is brought to you by [http://www.cortechs.net CorTechs], [http://crisp.cit.nih.gov/crisp/CRISP_LIB.getdoc?textkey=6641264&p_grant_num=5P41RR014075-05&p_query=&ticket=10459360&p_audit_session_id=48433183&p_keywords= NCRR/P41RR14075], [http://crisp.cit.nih.gov/crisp/CRISP_LIB.getdoc?textkey=6936484&p_grant_num=5R01RR01659404&p_query=&ticket=16737375&p_audit_session_id=78570196&p_keywords= R01 RR16594-01A1], and our ["Contributors"].
References
For more technical descriptions of the software capabilities:
Fischl B, van der Kouwe A, Destrieux C, Halgren E, Segonne F, Salat DH, Busa E, Seidman LJ, Goldstein J, Kennedy D, Caviness V, Makris N, Rosen B, Dale AM. Automatically parcellating the human cerebral cortex. Cereb Cortex. 2004 Jan;14(1):11-22.
Fischl B, Salat DH, van der Kouwe AJ, Makris N, Segonne F, Quinn BT, Dale AM. Sequence-independent segmentation of magnetic resonance images. Neuroimage. 2004;23 Suppl 1:S69-84.
Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002 Jan 31;33(3):341-55.
Segonne F, Dale AM, Busa E, Glessner M, Salat D, Hahn HK, Fischl B. A hybrid approach to the skull stripping problem in MRI. Neuroimage. 2004 Jul;22(3):1060-75.
Fischl B, Liu A, Dale AM. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex.
Fischl B, Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A. 2000 Sep 26;97(20):11050-5.
Fischl B, Sereno MI, Dale AM. Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage. 1999 Feb;9(2):195-207.
Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage. 1999 Feb;9(2):179-94.