tedana.utils.threshold_map

threshold_map(img, min_cluster_size, threshold=None, mask=None, binarize=True, sided='bi')[source]

Cluster-extent threshold and binarize image.

Parameters:

  • img (img_like or array_like) – Image object or 3D array to be clustered

  • min_cluster_size (int) – Minimum cluster size (in voxels)

  • threshold (float or None, optional) – Cluster-defining threshold for img. If None (default), assume img is already thresholded.

  • mask ((S,) array_like or None, optional) – Boolean array for masking resultant data array. Default is None.

  • binarize (bool, optional) – Default is True.

  • sided ({‘bi’, ‘two’, ‘one’}, optional) – How to apply thresholding. One-sided thresholds on the positive side. Two-sided thresholds positive and negative values together. Bi-sided thresholds positive and negative values separately. Default is ‘bi’.

Returns:

clust_thresholded ((M) numpy.ndarray) – Cluster-extent thresholded (and optionally binarized) map.