niftynet.utilities.histogram_standardisation module¶
Implementation of Nyúl László G., Jayaram K. Udupa, and Xuan Zhang. “New variants of a method of MRI scale standardization.” IEEE transactions on medical imaging 19.2 (2000): 143-150.
This implementation only supports input images with floating point number, (not integers).
-
create_mapping_from_multimod_arrayfiles
(array_files, field, modalities, mod_to_train, cutoff, masking_function)[source]¶ Performs the mapping creation based on a list of files. For each of the files (potentially multimodal), the landmarks are defined for each modality and stored in a database. The average of these landmarks is returned providing the landmarks to use for the linear mapping of any new incoming data
Parameters: - array_files – List of image files to use
- modalities – Name of the modalities used for the standardisation and the corresponding order in the multimodal files
- cutoff – Minimum and maximum landmarks percentile values to use for the mapping
- masking_function – Describes how the mask is defined for each image.
Returns:
-
transform_by_mapping
(img, mask, mapping, cutoff, type_hist='quartile')[source]¶ Performs the standardisation of a given image.
Parameters: - img – image to standardise
- mask – mask over which to determine the landmarks
- mapping – mapping landmarks to use for the piecewise linear transformations
- cutoff – cutoff points for the mapping
- type_hist – Type of landmarks scheme to use: choice between quartile percentile and median
Return new_img: the standardised image