Support Image2DICOM Conversion

QIICR / dcmqi

dcmqi (DICOM for Quantitative Imaging) is a free, open source C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

https://qiicr.gitbook.io/dcmqi-guide/

BSD 3-Clause "New" or "Revised" License

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Support Image2DICOM Conversion #384

Open tostein opened 5 years ago

tostein commented 5 years ago

@fedorov As discussed on the NAMIC project week 30, the need of converting non-DICOM image data (ITK formats) into DICOM is present. An example use case are data provided by challenges. We would like to have this functionality in MITK, but if this feature would be included in dcmqi others can profit as well

I think the mechanism of dcmqi (providing meta data as JSON) fits perfect to supply a converter taking the image pixel data and fills out the necessary DICOM tags. In any case, it would be nice to reuse some of the existing code to pursue this goal.

It would be great to have such a converter within the dcmqi library. If this idea finds consent i would be interested to start the development.

fedorov commented 5 years ago

@tostein it would be wonderful to have such functionality in dcmqi, and your contribution is most welcomed!

I think the starting point should be the analysis of this post on the DICOM4QI forum from @dclunie.

Do you want to take a look at that and maybe we could schedule a phone call to discuss the next steps?

fedorov commented 5 years ago

@tostein @nolden do you have any thoughts? Is this still of interest to investigate to you?

nolden commented 5 years ago

https://github.com/tostein/dcmqi/tree/image2dicom

fedorov commented 5 years ago

Per discussion today:

tool for conversion from single-frame to legacy-converted enhanced MR: https://github.com/QIICR/enhanced_mr (I will add @tostein to that repo)
unfinished PR refactoring dcmqi: https://github.com/QIICR/dcmqi/pull/226
we use dcmGenerateUniqueIdentifier() function to generate UIDs

fedorov commented 5 years ago

I added some comments to the branch. Overall, it looks consistent with the rest of dcmqi to me, the question is how the next steps will be implemented.