Hello Chris and the `dcm2niix` community,
I'm reaching out for guidance on a challenge we're currently facing. We are working with abdomen MR DICOM images intended for segmentation model training. We've observed that some of our DICOM datasets, which are composed images (resulting from upper and lower acquisition sequences combined together), exhibit inconsistent actual slice spacing. I understand that the NIfTI format typically assumes equidistant slices.
Having not tried the `dcm2niix` conversion for these particular datasets yet, I'd like to be proactive and gather insights:
1. Is it possible to convert such DICOM images with varying
slice spacings to NIfTI using `dcm2niix` without running into
issues?
2. If challenges are anticipated, do you have any recommendations
or best practices for preprocessing these DICOM images prior to
conversion?
3. Are there specific flags or parameters in `dcm2niix` that might
help in ensuring an accurate conversion for these datasets?
Thank you for your time and expertise. We truly appreciate any insights you can provide.
Chenglin
Threaded View
| Title | Author | Date |
|---|---|---|
| cz239 | Sep 29, 2023 | |
| Chris Rorden | Sep 29, 2023 | |
