laminar_regional_approximation

nighres.laminar.laminar_regional_approximation(profile_surface_image, intensity_image, roi_image, save_data=False, overwrite=False, output_dir=None, file_name=None)

Sampling data on multiple intracortical layers

Parameters:

• profile_surface_image (niimg) – 4D image containing levelset representations of different intracortical surfaces on which data should be sampled
• intensity_image (niimg) – Image from which data should be sampled
• roi_image (niimg) – Label image of the region to sample
• save_data (bool) – Save output data to file (default is False)
• overwrite (bool) – Overwrite existing results (default is False)
• output_dir (str, optional) – Path to desired output directory, will be created if it doesn’t exist
• file_name (str, optional) – Desired base name for output files with file extension (suffixes will be added)

Returns:

Dictionary collecting outputs under the following keys (suffix of output files in brackets)

• weights (niimg): weight image, representing the weighting of profiles in the estimation (_lra-weight)
• degree (niimg): degree image, representing the degree of profiles in the estimation (_lra-deg)
• residuals (niimg): residuals image, representing the residual error in the estimation (_lra-res)
• median ([float]): the estimated median profile (_lra-med)
• perc25 ([float]): the estimated 25 percentile profile (_lra-p25)
• perc75 ([float]): the estimated 75 percentile profile (_lra-p75)

Return type:

dict

Notes

Original Java module by Pierre-Louis Bazin