Operator for 2D/3D image visualization

[rahul-imaging]

User Story As an application developer I would like to visualize the input medical images that are fed to an Operator and the output medical images that are generated by the Operator so that I can debug the Operator in my local workstation

Background Typical AI inference and/or transformation type operators ingest and generate imaging data that are not easy to visualize using off-the-shelf viewers. Key to debugging the functionality of an operator is to visualize the input and output datasets and analyze them. However most open-source image visualization systems are not suitable for use during AI algorithm development

• No medical imaging visualization toolkit offers a mechanism so that visualization can be easily integrated programmatically during app development.
• Most open-source viewers offer visualizing 2D slices, but not 3D
• Those which can render 3D datasets often cannot handle large 3D datasets and also do not offer all relevant modes of visualization.

Success Criteria Operator provides the following outputs at a minimum:

• Ability to render CT, MR, X-Ray Datasets
• Visualization Modes: Original Slice, DVR, MaxP, MinP
• Allows modification of transfer function for DVR views
• Basic Interaction: Zoom, Rotate (3D only), Pan
• Navigation of slices in original slice mode
• Operator linkable with other compatible operators in an application

[AndreasHeumann]

I think we can close this, the operator is implemented.