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Project: Review of priorities and development planning of dcmqi #942

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fedorov opened this issue Jan 17, 2024 · 2 comments · Fixed by #947
Closed

Project: Review of priorities and development planning of dcmqi #942

fedorov opened this issue Jan 17, 2024 · 2 comments · Fixed by #947

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@fedorov
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fedorov commented Jan 17, 2024

Draft Status

Ready - team will start page creating immediately

Category

DICOM

Presenter Location

In-person

Key Investigators

  • Andrey Fedorov (BWH, USA)
  • Michael Onken (OpenConnections, Germany)
  • Joost van Griethuysen (NKI, Netherlands)
  • Ralf Floca (DKFZ, Germany)

Project Description

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.

This library has been around for quite some time, and gained some adoption, but has not been actively developed for the past few years, but with the efforts of @michaelonken development restarted.

The goal of this project would be to discuss what, if anything, could be done to make it more usable and address any of the needs that users might have.

Objective

  1. Review any outstanding and new topics and feature requests
  2. Review issue tracker
  3. Review documentation

Approach and Plan

  1. discuss with @jcfr any topics related to the possible integration with ITK-Wasm dicom package
  2. revisit basic python wrapping, similar to pyplastimatch done by @denbonte
  3. clean up issue tracker
  4. discuss support of enhanced multiframe as SEG reference images and confirm understanding of the level of support of enhanced multiframe in Slicer/ITK (@michaelonken tried and failed to load any such images in Slicer)
  5. revisit documentation
  6. discuss interoperability testing with highdicom and dcmjs and maybe other tools.
  7. Help @JoostJM with possible integration into CaseIterator
  8. Discuss the use case for running conversion in absence of source image DICOM files, per request from @rfloca and as discussed in Refactor itkimage2dcmSegmentation and itkimage2paramap to support "in memory" DCM sources. QIICR/dcmqi#390.
  9. Discuss the process and schedule of upgrading dcmqi in MITK (@rfloca I did submit a PR, but not sure if those are reviewed? Upgrade DCMQI to 1.3.1 - performance improvements and merged segments support MITK/MITK#279)

Progress and Next Steps

No response

Illustrations

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Background and References

@fedorov
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fedorov commented Jan 17, 2024

This issue will close #881

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github-actions bot commented Jan 17, 2024

Project Page Pull Request Creation

IN PROGRESS: Project Page Pull Request Creation

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