tedana.reporting.static_figures
.plot_adaptive_mask
- plot_adaptive_mask(*, optcom: ndarray, base_mask: ndarray, io_generator: OutputGenerator)[source]
Create a figure to show the adaptive mask.
This figure shows the base mask, the adaptive mask thresholded for denoising (threshold >= 1), and the adaptive mask thresholded for classification (threshold >= 3), overlaid on the mean optimal combination image.
- Parameters:
optcom ((S x T)
numpy.ndarray
) – Optimal combination of components. The mean image over time is used as the underlay for the figure.base_mask ((S,)
numpy.ndarray
) – Base mask used in tedana. This is the original mask either provided by the user or generated with compute_epi_mask.io_generator (
OutputGenerator
) – The output generator for this workflow.