Comments (3)
Reminder... running:
nii2dcm input.nii.gz output
seems to produce DICOMs that look correct when opened in MITK Workbenchnii2dcm input.nii.gz output -d SVR
seems to produce DICOMs that look correct when opened in ITK Snap
Tried this with both CT and MRI DICOMs... something in how different programs interpret the DICOMs, but also some inconsistency in the nii2dcm Dicom/DicomMRISVR classes
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the dicom file which has converted shows a big different in CT value. the window range is like 6,7 times larger
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Tested again today on generic CT image and this is still a problem.
Need to resolve such that running nii2dcm input.nii.gz output -d MR
, nii2dcm input.nii.gz output -d CT
, etc. outputs a DICOM dataset with reasonable contrast.
Currently tailored to specifically to SVRTK NIfTI files.
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Related Issues (20)
- B dcm_dictionary_update() function to HOT 1
- Improve dcm_dictionary_update() implementation HOT 1
- Create code build GitHub Action
- Create GitHub Action to test running of nii2dcm HOT 1
- Add in reference DICOM functionality
- Add checks to ensure robustness DICOM Attributes defined in multiple Modules
- Add in Logger
- Ensure output files end in .dcm
- Create TestPyPI build GHA HOT 1
- Create PyPI build GHA
- Orientation of DICOM fies HOT 1
- AttributeError using reference dicom HOT 3
- dunamai RuntimeError and UnboundLocalError: local variable 'nZ' referenced before assignment HOT 9
- git exception after pip install HOT 5
- dicom_type for CT? HOT 2
- Add enhanced DICOM output HOT 1
- EOFError: Compressed file ended before the end-of-stream marker was reached HOT 2
- Issues with translation of images HOT 4
- prepare dicoms(max,min variable) about HOT 1
- Improve dcm.py inheritance
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