===== Usage ===== ``heudiconv`` processes DICOM files and converts the output into user defined paths. CommandLine Arguments ====================== .. argparse:: :ref: heudiconv.cli.run.get_parser :prog: heudiconv :nodefault: :nodefaultconst: Support ======= All bugs, concerns and enhancement requests for this software can be submitted here: https://github.com/nipy/heudiconv/issues. If you have a problem or would like to ask a question about how to use ``heudiconv``, please submit a question to `NeuroStars.org `_ with a ``heudiconv`` tag. NeuroStars.org is a platform similar to StackOverflow but dedicated to neuroinformatics. All previous ``heudiconv`` questions are available here: http://neurostars.org/tags/heudiconv/ Batch jobs ========== ``heudiconv`` can natively handle multi-subject, multi-session conversions, although it will process these linearly. To speed this up, multiple ``heudiconv`` processes can be spawned concurrently, each converting a different subject and/or session. The following example uses SLURM and Singularity to submit every subjects' DICOMs as an independent ``heudiconv`` execution. The first script aggregates the DICOM directories and submits them to ``run_heudiconv.sh`` with SLURM as a job array. .. code:: shell #!/bin/bash set -eu # where the DICOMs are located DCMROOT=/dicom/storage/voice # where we want to output the data OUTPUT=/converted/data/voice # find all DICOM directories that start with "voice" DCMDIRS=(`find ${DCMROOT} -maxdepth 1 -name voice* -type d`) # submit to another script as a job array on SLURM sbatch --array=0-`expr ${#DCMDIRS[@]} - 1` run_heudiconv.sh ${OUTPUT} ${DCMDIRS[@]} The second script processes a DICOM directory with ``heudiconv`` using the built-in `reproin` heuristic. .. code:: shell #!/bin/bash set -eu OUTDIR=${1} # receive all directories, and index them per job array DCMDIRS=(${@:2}) DCMDIR=${DCMDIRS[${SLURM_ARRAY_TASK_ID}]} echo Submitted directory: ${DCMDIR} IMG="/singularity-images/heudiconv-0.5.4-dev.sif" CMD="singularity run -B ${DCMDIR}:/dicoms:ro -B ${OUTDIR}:/output -e ${IMG} --files /dicoms/ -o /output -f reproin -c dcm2niix -b --minmeta -l ." printf "Command:\n${CMD}\n" ${CMD} echo "Successful process"