# Cardiac MRI data

**URL:** <https://discourse.slicer.org/t/cardiac-mri-data/30531>\
**Category:** Support\
**Tags:** segmentation, python, 3d-model\
**Created:** [July 11, 2023, 7:37pm UTC](https://discourse.slicer.org/t/cardiac-mri-data/30531 "2023-07-11T19:37:09Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Nabilah\_Hannani](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/nabilah_hannani/32/66744_2.png) [@Nabilah\_Hannani](https://discourse.slicer.org/u/Nabilah_Hannani)\
**Post date:** [July 11, 2023, 7:37pm UTC](https://discourse.slicer.org/t/cardiac-mri-data/30531/1 "2023-07-11T19:37:10Z")

</div>

Hello, I am working on 3D cardiac MRI images, I want to do normalization for my images. As for now, I used the general normalization script such as  
def normalize(x, max\_value):  
x[x\>max\_value]=max\_value  
return x/max\_value

Do you have any suggestions about others methods which is more proper for this case? Thank you