# Feature extraction from MRI slices

**URL:** <https://discourse.slicer.org/t/feature-extraction-from-mri-slices/26668>\
**Category:** Radiomics\
**Created:** [December 9, 2022, 8:36pm UTC](https://discourse.slicer.org/t/feature-extraction-from-mri-slices/26668 "2022-12-09T20:36:55Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Saadia\_Azeroual](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/saadia_azeroual/32/17635_2.png) [@Saadia\_Azeroual](https://discourse.slicer.org/u/Saadia_Azeroual)\
**Post date:** [December 9, 2022, 8:36pm UTC](https://discourse.slicer.org/t/feature-extraction-from-mri-slices/26668/1 "2022-12-09T20:36:55Z")

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Hello Pyradiomics community,  
I am a little bit confused because I am new in radiomics.  
I have 3 MRI slices with 3 corresponding masks, and I want to know if I should extract radiomic features from each slice and calculate the mean ? or it is okay to have features for each slice?

I’m eagerly awaiting your response. Many thanks.

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**Author:** ![lassoan](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/lassoan/32/13_2.png) [@lassoan](https://discourse.slicer.org/u/lassoan)\
**Post date:** [December 10, 2022, 3:12pm UTC](https://discourse.slicer.org/t/feature-extraction-from-mri-slices/26668/2 "2022-12-10T15:12:01Z")

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Normally you use a 2D region in 2D images and 3D region in 3D images. Are the 3 slices coming from a single volume? If yes, then it would be probably more appropriate to compute features in a 3D region.

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**Author:** ![Saadia\_Azeroual](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/saadia_azeroual/32/17635_2.png) [@Saadia\_Azeroual](https://discourse.slicer.org/u/Saadia_Azeroual)\
**Post date:** [December 11, 2022, 2:48pm UTC](https://discourse.slicer.org/t/feature-extraction-from-mri-slices/26668/3 "2022-12-11T14:48:39Z")

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Thank you very much @lassoan for your reply !