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[wiki:Self:FreeSurferWiki top]
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 [wiki:Self:FsTutorial/Overview 1. Tutorial Overview] [[BR]]
 [wiki:Self:FsTutorial/InstallAndSetup 2. Installation and Setup] [[BR]]
 [wiki:Self:FsTutorial/MorphAndRecon 3. Morphometry and Reconstruction] [[BR]]
 [wiki:Self:FsTutorial/GroupAnalysis 4. Group Analysis] [[BR]]
 [wiki:Self:FsTutorial/Visualization 5. Visualization and Inspection of Group Analysis Results] [[BR]]
 [wiki:Self:FsTutorial/FSLFeatFreeSurfer 6. Applying FreeSurfer Tools to FSL fMRI Analysis (FEAT)] [[BR]]
== Overview ==
The !FreeSurfer tools deal with two main types of data: volumetric data (volumes of voxels) and surface data (polygons that tile a surface). This tutorial should familiarize you with !FreeSurfer's volume and surface processing streams, the recommended workflow to execute these, and many of their component tools. The tutorial also describes some of !FreeSurfer's tools for registering volumetric datasets, performing group analysis on morphology data, and integrating FSL Feat output with !FreeSurfer (overlaying color coded parametric maps onto the cortical surface and visualizing plotted results). After completing the tutorial, you should be able to:
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 [wiki:Self:FsTutorial/Exercises Exercise Overview]  * perform surface reconstructions;
 * generate subcortical segmentations;
 * fix errors encountered during the volume or surface processing;
 * overlay functional data onto surfaces;
 * perform group analysis of structural (e.g. thickness) and functional data.
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 [wiki:Self:FsTutorial/FileFormats File Formats] == Course Outline ==
 * '''Day 1'''
  * [wiki:Self:FsTutorial/OutputData Session 1] - Use the volume and surface viewing tools to observe correctly processed output data.
  * [wiki:Self:FsTutorial/TroubleshootingData Session 2] - See examples of problematic output data, and learn how to fix the problems.
  * [wiki:Self:FsTutorial/MorphAndRecon Extra] - Long-form tutorial covering Freesurfer's morphometry and reconstruction tool recon-all.
  * [wiki:Self:ReconAllDevTable Extra] - recon-all process-flow reference table.
 * '''Day 2'''
  * [wiki:Self:FsTutorial/GroupAnalysis Session 1] - Learn how to conduct a group analysis, including visualization and inspection of results.
  * [wiki:Self:FsTutorial/FslFeatFreeSurfer Session 2] - Applying !FreeSurfer tools to FSL fMRI Analysis (FEAT)
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 [wiki:Self:FsTutorial/Tools FreeSurfer Tools]

 [wiki:Self:FsTutorial/Glossary Glossary]
== Additional ==
 *[wiki:Self:FsTutorial/Data Getting the tutorial data]
 *[wiki:Self:FsTutorial/Exercises Listing of all exercises]
 *[wiki:Self:FsTutorial/Tools FreeSurfer tools]
 *[wiki:Self:FsTutorial/Glossary Glossary]
 *[wiki:Self:FsTutorial/Acknowledgements Acknowledgements]
 *[wiki:Self:FsTutorial/SnapShot PDF and HTML snapshot]
 *!FreeSurfer home page: http://surfer.nmr.mgh.harvard.edu
 *!FreeSurfer download: http://surfer.nmr.mgh.harvard.edu/fswiki/Download
 *!FreeSurfer mailing list: send mail to majordomo@surfer.nmr.mgh.harvard.edu with the following command in the body of your email message: subscribe freesurfer

[wiki:FreeSurferWiki top]

FreeSurfer Tutorial

Overview

The FreeSurfer tools deal with two main types of data: volumetric data (volumes of voxels) and surface data (polygons that tile a surface). This tutorial should familiarize you with FreeSurfer's volume and surface processing streams, the recommended workflow to execute these, and many of their component tools. The tutorial also describes some of FreeSurfer's tools for registering volumetric datasets, performing group analysis on morphology data, and integrating FSL Feat output with FreeSurfer (overlaying color coded parametric maps onto the cortical surface and visualizing plotted results). After completing the tutorial, you should be able to:

  • perform surface reconstructions;
  • generate subcortical segmentations;
  • fix errors encountered during the volume or surface processing;
  • overlay functional data onto surfaces;
  • perform group analysis of structural (e.g. thickness) and functional data.

Course Outline

Additional

FsTutorial (last edited 2022-11-28 14:32:26 by LiamrSennott)