User Tools

Site Tools


cortical_thickness

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
cortical_thickness [2017/08/03 18:18]
mpenrod
cortical_thickness [2017/08/03 18:48]
mpenrod
Line 20: Line 20:
 Freesurfer is a useful tool for segmenting a T1-weighted image and building a cortical mesh. To segment the subject'​s T1-weighted image using freesurfer from the command line type: Freesurfer is a useful tool for segmenting a T1-weighted image and building a cortical mesh. To segment the subject'​s T1-weighted image using freesurfer from the command line type:
 <​code>​recon-all -i /​home/​projects/​MRI/​[subjid]/​[YYYYMMDD]/​[subjid]_WIP_MEMP_VBM_SENSE_13_1_MSE.nii.gz -subjid [subid] -all</​code>​ <​code>​recon-all -i /​home/​projects/​MRI/​[subjid]/​[YYYYMMDD]/​[subjid]_WIP_MEMP_VBM_SENSE_13_1_MSE.nii.gz -subjid [subid] -all</​code>​
-The MATLAB script **parallel_recon.m** has been written to (with slight adjustments in order to specify file input and output) automate and parallelize the process, which typically takes 6-10 hours per file.+The MATLAB script **parallel_recon.m** has been written to (with slight adjustments in order to specify file input and output) automate and parallelize the process, which typically takes 6-10 hours per file. It is also recommended that the process be executed on multiple servers in order to further parallelize the process. 
 + 
 +====Longitudinal Analysis==== 
 +===Pre-processing=== 
 +Following the segmentation of the T1-weighted image, two further pre-processing steps are necessary to proceed with longitudinal analysis of the data. Firstly, an unbiased template must be created for each subject, taking into account all time-points/​sessions. Secondly, each time-point must be processed again using these templates in order to standardize subject data across time-points. 
 + 
 +The command to create the unbiased template is: 
 +<​code>​recon-all -base [output file name] -tp [time-point 1 file] -tp [time-point 2 file] ... -tp [time-point n file] -all</​code>​ 
 +Next, the command to process each time-point using this template is: 
 +<​code>​recon-all -long [template file] [time_point file] -all</​code>​ 
 +The **recon-all -base** command will take about as long as the original FreeSurfer segmentation,​ however each iteration of the **recon-all -long** command will take approximately half the time. Using helper functions, the **paralell_recon.m** script will also generate and execute these commands.
  
 We will follow the steps outlined in the [[https://​surfer.nmr.mgh.harvard.edu/​fswiki/​FsTutorial/​LongitudinalTutorial|Freesurfer Wiki]] for analyzing cortical thickness. The first steps are described [[https://​surfer.nmr.mgh.harvard.edu/​fswiki/​LongitudinalProcessing|here]]. We will follow the steps outlined in the [[https://​surfer.nmr.mgh.harvard.edu/​fswiki/​FsTutorial/​LongitudinalTutorial|Freesurfer Wiki]] for analyzing cortical thickness. The first steps are described [[https://​surfer.nmr.mgh.harvard.edu/​fswiki/​LongitudinalProcessing|here]].
  
cortical_thickness.txt · Last modified: 2017/08/04 18:58 by mpenrod