Fig. 2 | Scientific Data

Fig. 2

From: Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines

Fig. 2

Experimental workflow to generate the database. A dataset is processed with MRIQC. Processing finishes with a POST request to the MRIQC Web API endpoint with a payload containing the image quality metrics (IQMs) and some anonymized metadata (e.g. imaging parameters, the unique identifier for the image data, etc.) in JSON format. Once stored, the endpoint can be queried to fetch the crowdsourced IQMs. Finally, a widget (Fig. 3) allows the user to annotate existing records in the MRIQC Web API.

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