# How can I convert the saved ROI points to voxel coordinates?

**URL:** <https://discourse.slicer.org/t/how-can-i-convert-the-saved-roi-points-to-voxel-coordinates/22309>\
**Category:** Support\
**Created:** [March 4, 2022, 12:42pm UTC](https://discourse.slicer.org/t/how-can-i-convert-the-saved-roi-points-to-voxel-coordinates/22309 "2022-03-04T12:42:25Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Toby\_Chen](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/toby_chen/32/14557_2.png) [@Toby\_Chen](https://discourse.slicer.org/u/Toby_Chen)\
**Post date:** [March 4, 2022, 12:42pm UTC](https://discourse.slicer.org/t/how-can-i-convert-the-saved-roi-points-to-voxel-coordinates/22309/1 "2022-03-04T12:42:25Z")

</div>

Hi,

I am trying to use 3D Slicer as a 3D bounding box labeling tool. I found the feature of creating an ROI in volume rendering. I can save the adjusted ROI as AnnotationROI.acsv. However, I can’t find a way to convert the saved points to voxel coordinates which I can use to crop the ROI in the 3D volume loaded by python’s SimpleITK module.  
For example:  
The saved ROI file:

```auto
# Annotation file /Users/tobychen/Desktop/test/case1.txt
# Name = AnnotationROI_1
# textVisibility = 1
# textColor = 0.7373,0.2549,0.1098
# textSelectedColor = 0.2667,0.6745,0.3922
# textOpacity = 1
# textAmbient = 0
# textDiffuse = 1
# textSpecular = 0
# textPower = 1
# textScale = 4.5
# textColumns = type|annotation|sel|vis
# pointNumberingScheme = 0
# pointVisibility = 1
# pointColor = 0.7373,0.2549,0.1098
# pointSelectedColor = 0.2667,0.6745,0.3922
# pointOpacity = 1
# pointAmbient = 0
# pointDiffuse = 1
# pointSpecular = 0
# pointPower = 1
# pointGlyphScale = 5
# pointGlyphType = 13
# pointColumns = type|x|y|z|sel|vis
point|74.5768|-166.008|-59.192|1|1
point|6.17077|7.2896|8.46312|1|1
# lineVisibility = 1
# lineColor = 0.7373,0.2549,0.1098
# lineSelectedColor = 0.2667,0.6745,0.3922
# lineOpacity = 1
# lineAmbient = 0
# lineDiffuse = 1
# lineSpecular = 0
# linePower = 1
# lineLineThickness = 1
# lineColumns = type|startPointID|endPointID|sel|vis
line|0|1|1|1

```

The volume shape read by python’s SimpleITK:  
125, 512, 512  
After resampled to spacing 1, 1, 1:  
312, 283, 283

Thanks!