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        There is a variety of documentation about the use of FreeSurfer contained in the FreeSurfer wiki including [[TeachYourselfFreeSurfer||a collection of talks and tutorials to teach yourself how to use FreeSurfer]], [[DownloadAndInstall|installation of the software]], [[FsTutorial|tutorials]], [[FsTutorial/Data|sample data]], and [[WorkFlows|work flows]] providing step by step guides to performing specific tasks.         There is a variety of documentation about the use of FreeSurfer contained in the FreeSurfer wiki including [[TeachYourselfFreeSurfer|a collection of talks and tutorials to teach yourself how to use FreeSurfer]], [[DownloadAndInstall|installation of the software]], [[FsTutorial|tutorials]], [[FsTutorial/Data|sample data]], and [[WorkFlows|work flows]] providing step by step guides to performing specific tasks.

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FreeSurfer Beginners Guide

FreeSurfer is a freely available software package developed by investigators at the Athinoula A. Martinos Center for Biomedical Imaging used for a number of procedures including:

  1. Creation of computerized models of the brain from magnetic resonance imaging (MRI) data.
  2. Processing of functional magnetic resonance imaging (fMRI) data.
  3. Measuring a number of morphometric properties of the brain including cortical thickness and regional volumes.
  4. Intersubject averaging of structural and functional data using a procedure that aligns individuals based on their cortical folding patterns for optimal alignment of homologous neural regions.

Machine Requirements

  • To run FreeSurfer, you will need either a PC running Linux or a Macintosh running OS X.

    FreeSurfer consumes a lot of processor time, memory resources and disk space, so it is recommended to run FreeSurfer on as powerful a machine as you have available. For example, at MGH we typically run Linux CentOS 5 on 2.5GHz quad processor Intel Xeon with 4 to 8 GB of DDR SDRAM, and 500GB of disk space.

    See SystemRequirements for more info.

Data Requirements

example_scan_A.jpg example_scan_B.jpg example_scan_C.jpg

  • A - excellent GM/WM contrast, acquired with MP-RAGE pulse-sequence protocol

  • B - very good GM/WM contrast, acquired with MP-RAGE pulse-sequence protocol

  • C - good GM/WM contrast, acquired with SPGR pulse-sequence protocol; not as good GM/WM contrast as the MP-RAGE acquisitions; low bandwidth causes some temporal lobe artifacts (brightening of the gray matter)

Getting Started

where the input (-i) file is a single file representing a T1-weighted data set. If you have DICOM images, you must find a file in the T1 series to pass. You can do this with the dcmunack command.

An active e-mail list is available to answer specific questions about processing procedures.

There is also a FAQ

FreeSurferBeginnersGuide (last edited 2020-04-10 10:31:15 by LeahMorgan)