00 - from DICOM to GLM
Overview about how to get from DICOM files from the Scanner to your GLM Analysis
1 This Site is currently under construction!!
2 General
This page gives an overview and brief information about the necessary steps to get from the DICOM files to a GLM Analysis. You can find more detailed information by navigating to the sub-pages by clicking on the caption of the respective point.
3 DICOM-Files
- the raw files from the scanner are DICOM-Files
- not really useful since we need
.nifti
files for our analysis \(\qquad\to\) first step is to transform theDICOM
- to.nift
-files
4 DICOM to nifti
- using a script from Adam that can be found here (or under
ADD THE PATH TO SHARED?
) - results in
.nifti
files in BIDS format
5 Distribute the T1w files to participants?
- if you promised participants that they will get their T1w images, you should make sure that they really get them
- this should be done before defacing
6 Defacing your data
- \(\bf{You\ have\ to\ deface\ your\ data\ before\ running\ fmriprep\ or\ your\ analysis!!!!!}\)
- You may want to save the “non-defaced” files somewhere else to give them to your participants
- You should delete the “non-defaced” files either after you distributed them to the respective participants, or after your study ended
- NEVER share data that was not defaced before!
- Defacing is done with
pydeface
(Docker; Version 2.0.2)
7 (Remove denoising scan from your data)
- if a denoising sequence was used in the scanner, but you don´t use denoising in your analysis, you have to remove the last volume of each scan (which basically is a noise scan) before continueing
8 fmriprep
- this is one of many BIDS-Apps (that require a BIDS-valid Dataset)
- runs various preprocessing steps on it´s own