Webfslmaths Jahn_Sphere_dmPFC_0_20_44. nii. gz-bin Jahn_Sphere_bin_dmPFC_0_20_44. nii. gz. This will binarize the sphere, so that it can be read by the FSL commands. Note. In the steps that were just listed, notice how the output from each command is used as input to the next command. You will change this for your own ROI, if you decide to create one. http://web.mit.edu/fsl_v5.0.10/fsl/doc/wiki/FLIRT(2f)FAQ.html
FSL Tutorial: Creating ROIs from Coordinates - Andy
WebThis function calls fslmaths 's help Run the code above in your browser using DataCamp Workspace Web(character) operations to be passed to fslmaths. Value. If retimg then object of class nifti. Otherwise, Result from system command, depends if intern is TRUE or FALSE. Note. … la beringie
fsl.wrappers.fslmaths — fslpy 3.7.0 documentation
WebMask image using FSL. This function calls fslmaths -mas to mask an image from an image mask and either saves the image or returns an object of class nifti. fsl_mask(..., outfile = tempfile (fileext = ".nii.gz"), retimg = FALSE) fslmask( file, mask, outfile = NULL, retimg = TRUE, reorient = FALSE, intern = FALSE, opts = "", verbose = TRUE, ... WebThen I used fslmaths to extract a particular cluster (remove just 1 out of 4 from the tfce_corrp_tstat1) and binarized it as a mask. fslmaths –dt int cluster_size -thr -uthr Webfslmaths my_fieldmap -mul 6.28 my_fieldmap_rads. 5. Finally, if you will be using this with Feat, you'll need a single magnitude image, and a brain extracted version of that image. You can get that this way: fslmaths se_epi_unwarped -Tmean my_fieldmap_mag bet2 my_fieldmap_mag my_fieldmap_mag_brain jeanette jerome