preprocessed-connectomes-project/quality-assessment-protocol: QAP v1.0.8
Year: 2015
Type: software
Abstract: QAP measure outputs and NIFTI header information is now stored in individual participant-level output JSON files instead of single-participant CSVs. At the end of the pipeline run, the information in these JSON files can be consolidated using the qap_jsons_to_csv.py script. Visualization graphs & reports are now generated using the qap_jsons_to_csv.py script upon completion of the pipeline run. Consolidated the data configuration file (participant list) generator scripts into one multi-purpose script (qap_sublist_generator.py), which supports BIDS directory format and AWS S3 bucket file path links. The pipeline configuration YAML file parameter names have been updated to be clearer. Introduction of the qap_check_output_csv.py script, which quickly compares the output CSV file against your original data configuration YAML file, then lists which participant-session-scans are missing in the final output and creates a new data configuration file with these scans for a convenient re-run. Users can now select to have zeros removed from anatomical scans prior to processing via the pipeline configuration file with the "exclude_zeros" flag. This is useful if a large number of zeros have been introduced to anatomical scans during de-facing and de-earing of images for privacy compliance, which can skew the QAP metric results. Improved information & error reporting. Fixed a bug where not all participants listed in the data configuration file would be run. Fixed several bugs that were causing report/PDF generation to crash or fail to complete.
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6893929901