Comments (3)
I'm afraid there's no way to remove those thing simply based on a threshold. I think the Hounsfield units of cloth and the bed are similar to soft tissue, so you can't just pick a value. You really need some sort of model based segmentation approach.
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Thanks a lot, I segmented the patient bed and clothing using another code, is it possible to convert to stl directly without selecting the bone skin soft tissue part specifically? I want to convert my segmented dicom to stl directly. Thanks in advance
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If you can select a good iso-value, then you can use my script to create a STL mesh of that iso-value. Examine the pixel intensities of the thing you're trying to extract, and pick a number somewhere in the middle range of those intensities.
Let's say you thing 200 is a reasonable iso-value. Then you'd run the script like this:
dicom2stl.py -i 200 dicom.zip
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Related Issues (19)
- Dicom to stl Conversion HOT 6
- Threshold value HOT 12
- Segmentation Fault HOT 1
- The output STL file is in the shape of a box HOT 3
- how to solve this error? HOT 2
- Program stuck at decimation step HOT 1
- Small filter Issue HOT 2
- Dicom to stl Conversion #issue HOT 7
- TypeError: cannot unpack non-iterable NoneType object HOT 5
- Comparing physical sizes of different generated meshes HOT 9
- Sample .DCM files available? (Does not work on my .DCM files) HOT 6
- What is the threshold? HOT 6
- Suggest: use machine learning to get more precise segmentation HOT 1
- server side ? HOT 2
- can I run this .py file in my gui.py?
- How to get an unsegmented 3D model
- 'vtkpython' is not recognized as an internal or external command, operable program or batch file. HOT 1
- 'loadLargestSeries' is not defined HOT 5
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