Pyradiomics, Brain MRI: How to Interpolate and remove outliers?

someOne · August 9, 2022, 6:39am

Hello Team

I was trying to extract features from brain MRI images using pyradiomics.

According to this article (Page4)
https://rdcu.be/cTh2N

Two essential steps before the feature extraction are Interpolation to isotropic voxel spacing and intensity outlier filtering

Does pyradiomics provides such functions?

I learned a little bit about pyradiomics parameter customization from this source, I wonder if that could help?

github.com

AIM-Harvard/pyradiomics/blob/master/docs/customization.rst

.. _radiomics-customization-label:

==========================
Customizing the Extraction
==========================

----------------------
Types of Customization
----------------------

There are 4 ways in which the feature extraction can be customized in PyRadiomics:

1. Specifying which image types (original/derived) to use to extract features from
2. Specifying which feature(class) to extract
3. Specifying settings, which control the pre processing and customize the behaviour of enabled filters and feature
   classes.
4. Specifying the voxel-based specific settings, which are only needed when using PyRadiomics to generate feature maps

.. warning::
    At initialization of the feature extractor or an individual feature class, settings can be provided as keyword

This file has been truncated. show original

Namely, under setting, it mentioned two functions * removeOutliers* and interpolator, although i am not positive if they are the functions I am looking for. Could you help me on that?

Thank
Have a good day

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Pyradiomics, Brain MRI: How to Interpolate and remove outliers?

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