Diffusion Tensor Imaging: The Nitty Gritty Brought to you by: Meenal and Erica November 2, 2010 Terms • FA: Fractional Anisotropy – The eccentricity of the ellipsoid • MD: Mean Diffusivity – The mean of the three principle eigenvectors • DTI Terminology Reference: http://ccn.ucla.edu/~jbrown/dti.html DTI Step 1: Convert Your Data • Convert the DTI DICOM files to NIFTI format DTI Step 1.A • Change your FSL Output Type – Cd: /usr/local/fsl-4.1.4/etc/fslconf – Run: sudo nano fsl.csh – Change FSLOUTPUTTYPE TO NIFTI – Control X – Save? “y” – Relaunch the terminal and check the change DTI Step 1.B • Edit script as needed – Script: /Volumes/sasquatch/DataManagement/Workspace/P rocessing/MatlabCode/”MY”Matlab/main_dtipreproc ess.m • Make sure your account system preferences are set to /bin/tcsh • Open matlab • Run: main_dtipreprocess.m DTI Step 2 • Move all folders – done, dti,ec,fsl, medinria, ninfo.txt,reg, vc and vl • From: – /StudyName/Original_Data/nii/subjid/dti • To: – /StudyName/Original_Data/DTI/subjid/dti/ DTI Step 3 • Rename files in: – StudyName/Original_Data/DTI/subj/dti/fsl/ – From: *rec* – To: *$subjID* DTI Step 4 • Create folders: – Studyname/DTI_Analysis – Studyname/DTI_Analysis/StudyName_MD – Studyname/DTI_Analysis/StudyName_MD/origd ata – Studyname/DTI_Analysis/StudyName_FA – Studyname/DTI_Analysis/StudyName_FA/FA DTI Step 5 • Copy data – Files ending in *FA* – From: StudyName/Original_Data/DTI/subj/dti/fsl – To: Studyname/DTI_Analysis/StudyName_FA/FA – Files ending in *MD* – From: StudyName/Original_Data/DTI/subj/dti/fsl – To: Studyname/DTI_Analysis/StudyName_MD/origd ata DTI Step 6 • Run Tract Based Spacial Statistics using the FSL Package – CD into DTI_Analysis/StudyName_FA/ – Copy dti_tbss1-3.sh – Run script – Note: Errors may occur here if fsl is not set up correctly TBSS • To Learn More – http://fsl.fmrib.ox.ac.uk/fsl/tbss/ • preprocessing - create FA images from your diffusion study data • tbss_1_preproc - prepare your FA data in your TBSS working directory in the right format • tbss_2_reg - apply nonlinear registration of all FA images into standard space • tbss_3_postreg - create the mean FA image and skeletonise it • tbss_4_prestats - project all subjects' FA data onto the mean FA skeleton • stats (e.g., randomise) - feed the 4D projected FA data into GLM modelling and thresholding in order to find voxels which correlate with your model. DTI Step 6 • Check mean_FA DTI Step: 7 • Create sublist in DTI_Documentation • Create folders: – DTI_Analysis/WM2DTI2Template – DTI_Analysis/GM2DTI2Template DTI Step 8 • Separate mean_FA and mean_MD into gray and white matter – Set up and Run: dti_combined_StudyName.sh – This script: • • • • #Step 1: Reorient the hires to Match the DTI #Step 2: Create Average Bo #Step 3: Register hires to Average Bo #Step 4: Apply warp of hires in DTI space and MD to MNI152 – # Threshold the MD Map > 0 – # Apply the warp (Subject FA to FMRIB_FA template) on MD map • • • • # Step 5: Segment the hires in MNI152 space # Step 6: Threshold just the WM and GM (Whole-brain) # Step 9: Multiple registered FA map and mask (WM and GM) # Step 10: Calculate the Mean FA for WM/ mean MD for WM and GM DTI Results • Bo+12 directions – FAtarget_WM – MDtarget_WM – MDtarget_GM