# How to integrate the dicom data from 3 series

**URL:** <https://discourse.slicer.org/t/how-to-integrate-the-dicom-data-from-3-series/41310>\
**Category:** Support\
**Tags:** dicom\
**Created:** [January 27, 2025, 12:15pm UTC](https://discourse.slicer.org/t/how-to-integrate-the-dicom-data-from-3-series/41310 "2025-01-27T12:15:09Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![pieper](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/pieper/32/8_2.png) [@pieper](https://discourse.slicer.org/u/pieper)\
**Post date:** [January 28, 2025, 8:00am UTC](https://discourse.slicer.org/t/how-to-integrate-the-dicom-data-from-3-series/41310/2 "2025-01-28T08:00:05Z")

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It sounds like you have a situation that has been discussed here a lot, and the links posted here should help:

> [@Merge 3 MRI volumes with different orientations into one](https://discourse.slicer.org/t/merge-3-mri-volumes-with-different-orientations-into-one/27089):
>
> Hi, I’m working on MRI to segment cheek fat volume and often I have one serie of few images for axial axe, one serie for coronal axe, one serie for sagittal axe (for one patient, one IRM). To get a better volume segmentation I would like to stitch these series. Stitch volume module can help me to match differents axes or it is for differents series of the same axe? Sorry for my English slight_smile

Usually a CT has one high-res series (axial) and sometimes low resolution reconstructions for convenience. Perhaps you just need to look for the axial with the smallest slice spacing and ignore the others (if you don’t have it for some reason maybe you can request it).

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