Provided by: heudiconv_1.1.6-1_all
NAME
heudiconv - DICOM converter for organizing brain imaging data into structured directory layouts
DESCRIPTION
usage: heudiconv [-h] [--version] [-d DICOM_DIR_TEMPLATE | --files [FILES ...]] [-s [SUBJS ...]] [-c {dcm2niix,none}] [-o OUTDIR] [-l LOCATOR] [-a CONV_OUTDIR] [--anon-cmd ANON_CMD] [-f HEURISTIC] [-p] [-ss SESSION] [-b [BIDSOPTION1 [BIDSOPTION2 ...]]] [--overwrite] [--datalad] [--dbg] [--command {heuristics,heuristic-info,ls,populate-templates,sanitize-jsons,treat-jsons,populate-intended-for}] [-g {studyUID,accession_number,all,custom}] [--minmeta] [--random-seed RANDOM_SEED] [--dcmconfig DCMCONFIG] [-q {SLURM,None}] [--queue-args QUEUE_ARGS] Example: heudiconv -d 'rawdata/{subject}' -o . -f heuristic.py -s s1 s2 s3 options: -h, --help show this help message and exit --version show program's version number and exit -d DICOM_DIR_TEMPLATE, --dicom_dir_template DICOM_DIR_TEMPLATE Location of dicomdir that can be indexed with subject id {subject} and session {session}. Tarballs (can be compressed) are supported in addition to directory. All matching tarballs for a subject are extracted and their content processed in a single pass. If multiple tarballs are found, each is assumed to be a separate session and the --ses argument is ignored. Note that you might need to surround the value with quotes to avoid {...} being considered by shell --files [FILES ...] Files (tarballs, dicoms) or directories containing files to process. Cannot be provided if using --dicom_dir_template. -s [SUBJS ...], --subjects [SUBJS ...] List of subjects - required for dicom template. If not provided, DICOMS would first be "sorted" and subject IDs deduced by the heuristic. -c {dcm2niix,none}, --converter {dcm2niix,none} Tool to use for DICOM conversion. Setting to "none" disables the actual conversion step -- useful for testing heuristics. -o OUTDIR, --outdir OUTDIR Output directory for conversion setup (for further customization and future reference. This directory will refer to non-anonymized subject IDs. -l LOCATOR, --locator LOCATOR Study path under outdir. If provided, it overloads the value provided by the heuristic. If --datalad is enabled, every directory within locator becomes a super-dataset thus establishing a hierarchy. Setting to "unknown" will skip that dataset. -a CONV_OUTDIR, --conv-outdir CONV_OUTDIR Output directory for converted files. By default this is identical to --outdir. This option is most useful in combination with --anon-cmd. --anon-cmd ANON_CMD Command to run to convert subject IDs used for DICOMs to anonymized IDs. Such command must take a single argument and return a single anonymized ID. Also see --conv-outdir. -f HEURISTIC, --heuristic HEURISTIC Name of a known heuristic or path to the Python script containing heuristic. -p, --with-prov Store additional provenance information. Requires python-rdflib. -ss SESSION, --ses SESSION Session for longitudinal study_sessions. Default is None. -b [BIDSOPTION1 [BIDSOPTION2 ...]], --bids [BIDSOPTION1 [BIDSOPTION2 ...]] Flag for output into BIDS structure. Can also take BIDS-specific options, e.g., --bids notop. The only currently supported options is "notop", which skips creation of top-level BIDS files. This is useful when running in batch mode to prevent possible race conditions. --overwrite Overwrite existing converted files. --datalad Store the entire collection as DataLad dataset(s). Small files will be committed directly to git, while large to annex. New version (6) of annex repositories will be used in a "thin" mode so it would look to mortals as just any other regular directory (i.e. no symlinks to under .git/annex). For now just for BIDS mode. --dbg Do not catch exceptions and show exception traceback. --command {heuristics,heuristic-info,ls,populate-templates,sanitize-jsons,treat-jsons,populate-intended-for} Custom action to be performed on provided files instead of regular operation. -g {studyUID,accession_number,all,custom}, --grouping {studyUID,accession_number,all,custom} How to group dicoms (default: by studyUID). --minmeta Exclude dcmstack meta information in sidecar jsons. --random-seed RANDOM_SEED Random seed to initialize RNG. --dcmconfig DCMCONFIG JSON file for additional dcm2niix configuration. Conversion submission options: -q {SLURM,None}, --queue {SLURM,None} Batch system to submit jobs in parallel. --queue-args QUEUE_ARGS Additional queue arguments passed as a single string of space-separated Argument=Value pairs.