Skip to content

Draft pipeline for processing bidsified data with hMRI-toolbox

Notifications You must be signed in to change notification settings

nbeliy/hmri-bids-pipeline

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Implementation of bids-based pipelines

Requirements

Official package to work with bidsified datasets. bids-matlab git clone -b dev [email protected]:bids-standard/bids-matlab.git

The package can be very slow in current state, hopely will change later.

Some additional utility scripts: bids-processing-tools git clone bids-processing-tools

Other package may be required, see dedicated README.md files.

Genetal phylosophy

The pipelines tries to streamline the usual image processing and adapt them to BIDS.

Each pipeline contains 2 or 3 configuration folders:

  • config: contains json files wich defines file selection to process
  • MBatches: contains a set of spm-batches files, used by pipeline
  • ConfigCRC: used toolbox requires a configuration files, they will be stored there

a set of matalb scripts implementing each individual steps and master script that runs the full pipeline.

To run the pipeline, user expected to fork the package, and adapt pipeline to his needs. Adapt file selection in config/.json file, adapt batches parameters in MBatches and adapt default configuration files in ConfigCRC.

All local changes should be commited only on individual branches or forked repository. More general improvments and bug fixes should be integrated into main package using merge request.

Individual steps signature

Each individual step in pipeline should be presented as a function, accepting two positional parameters:

  • source: path to source dataset, which is expected to follow BIDS
  • destination: path to output directory, where the datasets will be cloned as derivative dataset

and at least two named optional parameters:

  • name: name of processing step, if not specified, will be same as script name
  • subjects: cellstring, containing list of subjects to process, if not specified, all subjects will be processed

The return value will be the path of derivative dataset.

Step script will load the source dataset, select needed files for processing and copy them to <destination>/<name> derivative dataset. The following processing will be done only on derived dataset.

Important If source is same destination/name, then derivative datasets will not be copied, and processing will be performed on source dataset.

See example in mpm/mpm_CreateMap.

Master script

The master script collect several steps into one processing from a to z. It has the same signature as individual scripts, and will create only one derivated dataset.

The terminal output of each individual step will be saved in the log file.

Configuration

File selection

Pipeline selects files to process using bids.query function from bids-matlab package. In this package, files are selected by a set of entity key-value pairs. This selection is configured in config/.json files in form of query dictionary, for ex:

    "reference": {
      "query": {
        "modality": "anat",
        "acq": "MTw",
        "echo": "2",
        "part": "mag",
        "suffix": "MPM",
        "extension": [".nii", ".nii.gz"]
      },
      "number": 1
    }

Here, for each subject, and image with extention .nii or .nii.gz, from modality anat, having acq-MTw in the name. The optional parameter number provides a number of expected files. If number of retrieved files differs, pipeline will raise an error and skip faulty subject.

About

Draft pipeline for processing bidsified data with hMRI-toolbox

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published