Package that provides tools for brain MRI Deep Learning pre-processing.

Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.

brainprep.workflow.mriqc.detect_outliers(data, percentiles=[95, 5])[source]¶

Detect outliers. Lower outlier threshold is calculated as 5% quartile(data) - 1.5*IQR(data); upper outlier threshold calculated as 95% quartile(data) + 1.5*IQR(data).

Parameters:

data : DataFrame

the table with the data to QC.

percentiles : 2-uplet, default [95, 5]

sequence of percentiles to compute.

Returns:

qc : array

the QC result as a binary vector.