# itk.imread of dicom images with dtype int16
**URL:** https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388
**Category:** Engineering
**Tags:** registration
**Created:** [January 11, 2024, 3:20pm UTC](https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388 "2024-01-11T15:20:00Z")
**Posts on this page:** 7
**Page:** 1
### Author:  [@alireza\_samadi](https://discourse.itk.org/u/alireza_samadi)
#### Post date: [January 11, 2024, 3:20pm UTC](https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388/1 "2024-01-11T15:20:00Z")
Hi all
In my project I am trying to register two sets of images.
When I read my moving image which is a T1 MR Quantitative Map , using DICOM reader [pydicom.dcmread] , the image is loaded correctly as below:
[note that dtype=int16]
However, when I read the same series of DICOM images using itk library doing
moving\_image = itk.imread(directory , PixelType=itk.F)
the image I see is as below [which dtype is float32] :
and I was trying different dtype selection in itk.read function but they don’t seem to work out. For example I tried ‘unsigned short’ = so it is equal to original dtype int16 but I see the below result :
is there anything i can do about it ?
also this needs to be considered that in itk documentation is mentioned for doing elastix registration (which is what I want to do) reading with itk.F is needed
PS: the images shown are from two different adjacent slices, but the results are pretty similar.
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### Author:  [@matt.mccormick](https://discourse.itk.org/u/matt.mccormick)
#### Post date: [January 11, 2024, 5:30pm UTC](https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388/2 "2024-01-11T17:30:57Z")
Hi @alireza_samadi ,
Is the image read correctly with [dcmqi](https://github.com/QIICR/dcmqi)?
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### Author:  [@mihail.isakov](https://discourse.itk.org/u/mihail.isakov)
#### Post date: [January 12, 2024, 10:19am UTC](https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388/3 "2024-01-12T10:19:48Z")
@alireza_samadi Could you share the image (or one slice)?
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### Author:  [@alireza\_samadi](https://discourse.itk.org/u/alireza_samadi)
#### Post date: [January 12, 2024, 12:37pm UTC](https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388/4 "2024-01-12T12:37:55Z")
Hi
yes here they are:
[T1.zip](https://discourse.itk.org/uploads/short-url/7h8YppFu2TRooNUuLA4FuUyOEjX.zip) (1.4 MB)
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### Author:  [@mihail.isakov](https://discourse.itk.org/u/mihail.isakov)
#### Post date: [January 12, 2024, 1:34pm UTC](https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388/5 "2024-01-12T13:34:17Z")
The image has _Photometric Interpretation_ PALETTE\_COLOR, something is probably wrong with palette. I shall look closer later. The monochrome version might be sufficient for registration.
[T1monochrome.zip](https://discourse.itk.org/uploads/short-url/oIrmRhkBIah1Cs7u0SST2etLj0q.zip) (1.4 MB)
P.S. BTW, another (unrelated) issue is that all images share the same Series UID, but have different Study UIDs and Frame of Reference UIDs. It is wrong.
Here is fixed version: [T1monochrome-2.zip](https://discourse.itk.org/uploads/short-url/pJBdczlJJCjKzuFwS0hUZxkXFwI.zip) (1.4 MB)
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### Author:  [@mihail.isakov](https://discourse.itk.org/u/mihail.isakov)
#### Post date: [January 12, 2024, 2:39pm UTC](https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388/6 "2024-01-12T14:39:23Z")
I have tried to look at the palette, but I have to give up. Every image has different palette data and settings, I looked at binary data of the palette of image0001.dcm and image0015.dcm, all three (red, green, blue) seem to contain only 0x00 or 0xFF. No DICOM viewer I have tried could open palette better. I hope monochrome version from the above post is OK.
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### Author:  [@alireza\_samadi](https://discourse.itk.org/u/alireza_samadi)
#### Post date: [January 12, 2024, 3:11pm UTC](https://discourse.itk.org/t/itk-imread-of-dicom-images-with-dtype-int16/6388/7 "2024-01-12T15:11:08Z")
hi thanks this Monochrome Version seems to work fine! 🙂 can I ask what should I do to convert the rest of my images similarly?