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I work with so called cartesian .vol files that come from GE Voluson S6 ultrasound.

I'm able to open them in Slicer 3D application and display a 3-dimensional model as expected.

I'm aiming to convert these files to .stl in order to be able to use deep learning techniques to modify their content.

While this is possible with Slicer, in order to automate the process, I need to somehow convert these .vol files to .stl, preferably using python.

Please share any knowledge regarding this issue.

Here's a link to my google drive, containing an example of such file: Link

Bilal
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GraphitePearl
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  • have you tried to read it using [SimpleITK](https://simpleitk.org) or [NiBabel](https://nipy.org/nibabel) libraries? – Bilal Jul 06 '21 at 20:21
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    Thanks for the response. Yes, I did. Both fail. SimpleSTK throws an error "sitk::ERROR: Unable to determine ImageIO reader for "my_file.vol"", and NiBabel does something similar: "nibabel.filebasedimages.ImageFileError: Cannot work out file type of "my_file.vol"". – GraphitePearl Jul 07 '21 at 12:33
  • I'm not able to open the image using `3D Slicer`, should I install any additional module to `3D Slicer`?? – Bilal Jul 07 '21 at 13:23
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    Yes, the extension "SlicerHeart" is necessary to open these types of files. – GraphitePearl Jul 07 '21 at 13:52
  • The tool to handle this kind of images is proprietary as you can see [here](https://github.com/SlicerHeart/SlicerHeart/blob/master/README.md#ge), there is an explanation about how to read it using Slicer [here](https://discourse.slicer.org/t/loading-of-ge-kretz-ultrasound-volumes-vol-file/808/110) but It doesn't seem very clear. – Bilal Jul 07 '21 at 14:23
  • I know that, unfortunately, this is a proprietary kind of image. However, I'm still able to display it in 3D in Slicer (with the help of SlicerHeart extension) and even convert it to another format. That's why I'm hoping there is a way to fully automate the process. I've seen that code snippet already honestly it got me more confused. – GraphitePearl Jul 07 '21 at 14:39

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