# Same patient's dicom volumes has different dimensions, spacing and slices numbers

**URL:** https://discourse.itk.org/t/same-patients-dicom-volumes-has-different-dimensions-spacing-and-slices-numbers/7256
**Category:** Beginner Questions
**Tags:** itk, python, dicom
**Created:** [October 13, 2024, 9:53pm UTC](https://discourse.itk.org/t/same-patients-dicom-volumes-has-different-dimensions-spacing-and-slices-numbers/7256 "2024-10-13T21:53:41Z")
**Posts on this page:** 2
**Page:** 1

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### Author: ![Deniz\_Ceylan](https://discourse.itk.org/user_avatar/discourse.itk.org/deniz_ceylan/32/4374_2.png) [@Deniz\_Ceylan](https://discourse.itk.org/u/Deniz_Ceylan)
#### Post date: [October 13, 2024, 9:53pm UTC](https://discourse.itk.org/t/same-patients-dicom-volumes-has-different-dimensions-spacing-and-slices-numbers/7256/1 "2024-10-13T21:53:41Z")

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Hi, I’ve looked for solutions here but i couldnt find. Sorry if it’s a duplication.

I have 11 different DICOM volumes of same patient (converted to nifti) with absolutely different dimensions.

![image](https://discourse.itk.org/uploads/default/original/2X/c/c7dd7756eef4e094debdf7ebba569d35c5e4a61b.png)

I want to use caPTk for segmentation but caPTk doesnt allow me to use these volumes because of different sizes dims spacing etc.

How can i solve this problem. What is the workflow for this problem?

Thank you.

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### Author: ![dzenanz](https://discourse.itk.org/user_avatar/discourse.itk.org/dzenanz/32/1093_2.png) [@dzenanz](https://discourse.itk.org/u/dzenanz)
#### Post date: [October 14, 2024, 12:52pm UTC](https://discourse.itk.org/t/same-patients-dicom-volumes-has-different-dimensions-spacing-and-slices-numbers/7256/2 "2024-10-14T12:52:03Z")

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Pick an image with the highest resolution, or a convenient resolution close to the highest (e.g. isotropic). Then resample all the images to the reference image grid. But beware, this approach will lead to a loss of quality. You should be using tools which support images with differing resolutions, such as [3D Slicer](https://www.slicer.org/).