# Normalization of glioblastoma MRI images

**URL:** <https://discourse.slicer.org/t/normalization-of-glioblastoma-mri-images/45629>\
**Category:** Radiomics\
**Created:** [December 29, 2025, 4:53pm UTC](https://discourse.slicer.org/t/normalization-of-glioblastoma-mri-images/45629 "2025-12-29T16:53:55Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![celiaalme](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/celiaalme/32/81710_2.png) [@celiaalme](https://discourse.slicer.org/u/celiaalme)\
**Post date:** [December 29, 2025, 4:53pm UTC](https://discourse.slicer.org/t/normalization-of-glioblastoma-mri-images/45629/1 "2025-12-29T16:53:55Z")

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Hi! I’m kinda new to radiomics and don’t know much about image normalization. I want to extract radiomic features from MRI glioblastoma images. I’ve managed to apply an N4ITK bias filter and a z-score normalization, but I’m not quite sure about the values of the features extracted (they don’t seem related to the features whatsoever and differ a lot from the ones obtained without normalisation).I’m working with 2D images and masks.

I was wondering if there’s a pipeline anywhere that works?

Thanks!

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**Author:** ![PinkR1ver](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/pinkr1ver/32/82452_2.png) [@PinkR1ver](https://discourse.slicer.org/u/PinkR1ver)\
**Post date:** [June 10, 2026, 3:03am UTC](https://discourse.slicer.org/t/normalization-of-glioblastoma-mri-images/45629/2 "2026-06-10T03:03:10Z")

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> **[GitHub - PinkR1ver/Radiogenomics-GBM: Radiogenomics anaylsis to...](https://github.com/PinkR1ver/Radiogenomics-GBM)**
>
> Radiogenomics anaylsis to TCGA-GBM(https://wiki.cancerimagingarchive.net/display/Public/TCGA-GBM)

This repository may help you. If this repo is useful for you, pls give it a star.🫡