Differences between revisions 1 and 22 (spanning 21 versions)
Revision 1 as of 2005-08-25 19:00:08
Size: 1308
Editor: EvelinaBusa
Comment:
Revision 22 as of 2005-11-11 12:03:35
Size: 3217
Comment:
Deletions are marked like this. Additions are marked like this.
Line 1: Line 1:
[wiki:Self:FreeSurferWiki top]
Line 3: Line 5:
FreeSurfer is a versatile set of software tools that will help you analyze your structural and functional MRI data of the brain. It is comprised of several components -- user interfaces, graphical displays, and executable commands. !FreeSurfer is a freely available software package developed by investigators at the [http://www.nmr.mgh.harvard.edu: 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. [wiki:Self:FsTutorial/MorphAndRecon link]
Line 5: Line 9:
A handy overview of the major processing steps taking place in a standard FreeSurfer workflow are described in this pdf slide presentation: [http://surfer.nmr.mgh.harvard.edu/docs/ftp/pub/docs/FSL_anatomical_stream.pdf Building Anatomical Models with Freesurfer].         2. Processing of functional magnetic resonance imaging (fMRI) data. [wiki:Self:FsFastTutorial link]
Line 7: Line 11:
'''MRI Parameters'''         3. Measuring a number of morphometric properties of the brain including cortical thickness and regional volumes [THICKNESS wiki link]
Line 9: Line 13:
FreeSurfer requires that the MRI data conform to certain parameters. The slice thickness should be 1.3mm and the Field of View should be 25. For best results, each subject should have at least one sagittal structural scan. These scans are averaged and automatically corrected for motion before further processing.         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 [SPHERICAL wiki link]
Line 11: Line 15:
The end result: FreeSurfer will produce a single, high quality 3D structural volume, corresponding 2D surfaces, and automatically segmented subcortical structures for each of your subjects. '''Machine Requirements'''
Line 13: Line 17:
You can also use FreeSurfer to generate an average subject out of all the participants in your study, upon which you can display individual subject data - structural and/or functional.         To run Freesurfer, you will need either a PC running Linux or a Macintosh running OS X.
Line 15: Line 19:
'''System Requirements'''         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 4 on 2.5GHz dual processor AMD Opterons w/ 4 to 8GB of DDR SDRAM, and 250GB of disk space.
Line 17: Line 21:
'''Data Requirements'''
Line 18: Line 23:
        The processing procedures for the creation of cortical models requires good quality T1 weighted MRI data, such as a Siemens MPRAGE ([http://www.nmr.mgh.harvard.edu/~andre/ examples of appropriate Siemens scanner protocols]) or GE SPGR sequence with approximately 1mm^3^ resolution (although a variety of quality datasets can be processed with additional manual intervention).
Line 19: Line 25:
'''Getting Started'''
Line 20: Line 27:
        There is a variety of documentation about the use of Freesurfer contained in the Freesurfer wiki including [wiki:Self:DownloadAndInstall installation of the software], [wiki:Self:FsTutorial tutorials], [wiki:Self:FsTutorial/Data sample data], and [wiki:Self:WorkFlows work flows] providing step by step guides to performing specific tasks.
                                                                                
        To get started, we suggest you:
Line 21: Line 31:
            1. Install Freesurfer [wiki:Self:DownloadAndInstall click here]
Line 22: Line 33:
            2. Download the sample dataset [wiki:Self:FsTutorial/Data click here]

            3. Read the introductory material on Freesurfer from past lectures: [attachment:FSL_anatomical_stream.pdf slides (BF)] and [attachment:surferfest3.pdf slides (DG)]

            4. Follow the cortical reconstruction tutorial to create cortical models [wiki:Self:FsTutorial click here]

            5. Peruse the wiki to get a fuller knowledge of all of the available processing procedures in the Freesurfer software package

                                                                                
An active [wiki:Self:FreeSurferSupport e-mail list] is available to answer specific questions about processing procedures.

[wiki:FreeSurferWiki top]

FreeSurfer Beginners Guide

FreeSurfer is a freely available software package developed by investigators at the [http://www.nmr.mgh.harvard.edu: 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. [wiki:FsTutorial/MorphAndRecon link]

  2. Processing of functional magnetic resonance imaging (fMRI) data. [wiki:FsFastTutorial link]

  3. Measuring a number of morphometric properties of the brain including cortical thickness and regional volumes [THICKNESS wiki link]
  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 [SPHERICAL wiki link]

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 4 on 2.5GHz dual processor AMD Opterons w/ 4 to 8GB of DDR SDRAM, and 250GB of disk space.

Data Requirements

  • The processing procedures for the creation of cortical models requires good quality T1 weighted MRI data, such as a Siemens MPRAGE ([http://www.nmr.mgh.harvard.edu/~andre/ examples of appropriate Siemens scanner protocols]) or GE SPGR sequence with approximately 1mm3 resolution (although a variety of quality datasets can be processed with additional manual intervention).

Getting Started

  • There is a variety of documentation about the use of Freesurfer contained in the Freesurfer wiki including [wiki:DownloadAndInstall installation of the software], [wiki:FsTutorial tutorials], [wiki:FsTutorial/Data sample data], and [wiki:WorkFlows work flows] providing step by step guides to performing specific tasks. To get started, we suggest you:

    1. Install Freesurfer [wiki:DownloadAndInstall click here]

    2. Download the sample dataset [wiki:FsTutorial/Data click here]

    3. Read the introductory material on Freesurfer from past lectures: [attachment:FSL_anatomical_stream.pdf slides (BF)] and [attachment:surferfest3.pdf slides (DG)]
    4. Follow the cortical reconstruction tutorial to create cortical models [wiki:FsTutorial click here]

    5. Peruse the wiki to get a fuller knowledge of all of the available processing procedures in the Freesurfer software package

An active [wiki:FreeSurferSupport e-mail list] is available to answer specific questions about processing procedures.

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