# SimpleITK, ResampleImageFilter for orthogonal views of MRI data
**URL:** https://discourse.itk.org/t/simpleitk-resampleimagefilter-for-orthogonal-views-of-mri-data/1878
**Category:** Beginner Questions
**Created:** [May 14, 2019, 1:44pm UTC](https://discourse.itk.org/t/simpleitk-resampleimagefilter-for-orthogonal-views-of-mri-data/1878 "2019-05-14T13:44:50Z")
**Posts on this page:** 6
**Page:** 1
### Author:  [@TanjaIvanovska](https://discourse.itk.org/u/TanjaIvanovska)
#### Post date: [May 14, 2019, 1:44pm UTC](https://discourse.itk.org/t/simpleitk-resampleimagefilter-for-orthogonal-views-of-mri-data/1878/1 "2019-05-14T13:44:50Z")
Dear All,
i have the following question:
i have an MRI dataset and would like to compute the other two orthogonal projections of that dataset. If i understand correctly, ResampleImageFilter should do what i need. But i have a problem with parameter settings.
For instance, my dataset was taken in a sagittal view and its parameters are:
origin: (35.82217025756836, -281.53106689453125, -45.62310028076172)
size: (448, 448, 15)
spacing: (1.1160714626312, 1.1160714626312, 4.4000020027160645)
direction: (4.5691251730000336e-05, -0.0034908494453999993, -0.9999939059226608, 0.9999999989561548, 1.5929806359999996e-07, 4.569097404107829e-05, -2.0321856580351833e-10, -0.9999939069664997, 0.0034908494490346205)
pixel type: 16-bit unsigned integer
number of pixel components: 1
Now i want to get the **coronal and axial** views for this dataset to process them separately.
It is clear how to define the new size and new spacing for coronal and axial views, but i
do not understand how to get the correct origin and direction vectors. If i copy them from the original image (which is wrong, of course), the result is wrong as expected. But how to compute them?
Thank you!
Thank you.
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### Author:  [@dzenanz](https://discourse.itk.org/u/dzenanz)
#### Post date: [May 14, 2019, 2:04pm UTC](https://discourse.itk.org/t/simpleitk-resampleimagefilter-for-orthogonal-views-of-mri-data/1878/2 "2019-05-14T14:04:56Z")
Welcome to the community Tanja!
To get orthogonal views, it is best to use [OrientImageFilter](https://itk.org/Doxygen/html/classitk_1_1OrientImageFilter.html). It does not introduce lossy resampling step, and you don’t have to worry about spacing.
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### Author:  [@blowekamp](https://discourse.itk.org/u/blowekamp)
#### Post date: [May 14, 2019, 2:18pm UTC](https://discourse.itk.org/t/simpleitk-resampleimagefilter-for-orthogonal-views-of-mri-data/1878/3 "2019-05-14T14:18:25Z")
Hello TanjaIvanovska,
While SimpleITK does not have the OrientImageFilter. This ITK filter simply uses the PermuteAxesImageFilter and the FlipImageFilter to perform the desire re-orientation:
>
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### Author:  [@TanjaIvanovska](https://discourse.itk.org/u/TanjaIvanovska)
#### Post date: [May 15, 2019, 10:40am UTC](https://discourse.itk.org/t/simpleitk-resampleimagefilter-for-orthogonal-views-of-mri-data/1878/4 "2019-05-15T10:40:37Z")
Thank you! The combination of PermuteFilter and FlipFilter worked out as expected!!
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### Author:  [@sag](https://discourse.itk.org/u/sag)
#### Post date: [December 13, 2019, 1:47pm UTC](https://discourse.itk.org/t/simpleitk-resampleimagefilter-for-orthogonal-views-of-mri-data/1878/5 "2019-12-13T13:47:01Z")
Hi tanja,
I need a MRI dataset for a program similar to yours, could you direct me where I can get couple of sets.
Regards,
sag
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### Author:  [@dzenanz](https://discourse.itk.org/u/dzenanz)
#### Post date: [December 13, 2019, 2:24pm UTC](https://discourse.itk.org/t/simpleitk-resampleimagefilter-for-orthogonal-views-of-mri-data/1878/6 "2019-12-13T14:24:16Z")
[TCIA](https://www.cancerimagingarchive.net/) has many datasets with MR modality.