Open danella opened 4 years ago
HI @danella yes susan filtering will work.
the error from this is that the mask path has to bind like you bind the docker image
${DATA_ROOT}/home/danella/data/parcellations/juelich_prob_GM_Amygdala_superficial_R_bin.nii.gz
Using the multiple mask is not possible for now, it has to be done one by one
Thanks @a3sha2 . I have put the mask into the same ${DATA_ROOT} directory, which I bind like this -B ${DATA_ROOT}:${HOME}/data
but I am still getting this error:
/xcpEngine/core/functions/import_image: line 19: /home/danella/data/juelich_prob_GM_Amygdala_superficial_R_bin.nii.gz: bad substitution
Do I need to still separately bind the mask path, even if it is in the same directory as the data? I also tried that, and continued to get this error. Thanks in advance for your help.
I got the same issue. Any solutions available now?
Describe the bug I have successfully added seeds using MNI and radius; however, now I would like to use a mask. I am running analyses in singularity using the following code.
export DATA_ROOT=/media/danella/DATA1/BEAM/Preprocessed
singularity run -B ${DATA_ROOT}:${HOME}/data ${HOME}/singularity/xcpEngine_190821.simg -d ${HOME}/data/fc-36p_despike_scrub_FD5_add_AMYmask_200524.dsn -c ${HOME}/data/func_cohort_190821_MNI_good_rest_105.csv -o ${HOME}/data/xcp_MNI_despike_scrub_FD5_rest -t 0 -r ${HOME}/data/fmriprep
I put my mask in ${DATA_ROOT}/parcellations/
Cohort file Paste cohort file between the triple backticks
Design File Paste your entire design (
.dsn
) file between the triple backticksError message Paste your error message between the backticks
Runtime Information Running through singularity
Additional context I recognize that I could use the utility here instead of the module. However, the last time I looked into this, the utility only used gaussian smoothing, and in my experience, I really do prefer susan for the preservation of tissue boundaries. My guess is that this has something to do with the "import_image" function not having access to the actual image, or something like that. I would appreciate any advice for how to fix this.
Also, is there any way to look at multiple masks here? I know for coordinates, you can just separate the coordinates by #. When I tried this with the mask, it gave me additional errors. Is this possible? Thanks in advance for your help!