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Visual DICOM browser
Key Investigators
- Davide Punzo (Freelancer, France)
- Andras Lasso (Perk Labs, Canada)
- Gabriel Kwiecinski Antunes (WebKriativa, Brazil)
- Ralf Floca (German Cancer Research Center, Germany; remote)
- Anyone is welcome to join
Project Description
Implement a visual DICOM browser with thumbnails and query/retrieve/store capabilities for DICOM databases.
Objective
Have a simple user-friendly interface to query/retrieve/store from a DICOM server. The user interface would render series thumbnails so the users can easily navigate the DICOM database (see illustrations for a first UI Design prototype). Moreover, perfomance needs to be boosted as much as possible:
1) fetch metadata only when strictly required (e.g. get series metadata only when the user clicks and opens a study item of the list)
2) the fetch should be performed in async with Qthreads/workers and parallelized.
Approach and Plan
1) Get feedback: ask feedback on the UI prototype (e.g., Osirix, MITK, Weasis, cloud UIs)
2) Design the solution: we implement in CTK:
- UI: display list of studies per patient with thumbnails. Show server and local content together
- improvement of the networking API:
- methods to retrieve instances metadata and DICOM files
- allow to query study and series metadata separately
- async query/retrieve/store
3) Start implementation
Progress and Next Steps
1) Meeting done on Tuesday (31/01/2023)
2) We will proceed with the pure C++ CTK implementation.
- First we will implement the self-contained visual CTK component.
- Then we will design/implement how to stream/load data into Slicer (into the volumeNode) in an asynch way
- NOTE: experiment with websocket from Marco https://github.com/nolden/CTK/commit/16ee8d0773ce37290636000d836ad107b4526085
- NOTE: web project from Stefan (link). This is very nice and we could use this and comunicate between javascript/C++. However the project uses cornerstone -> dicomwebclient and our requirement is that the solution has to work for any server (not only dicomweb servers).
- NOTE: the logic to define which is the instance to use for rendering the series thumbnail is still unclear. In the prototype we are sorting the instances using the frame number. However this is not reliable. We could compute the order from the Image Position Patient and Orientation, but this can be expensive (both in metadata fecthing and computations) and for 4D datasets you would need additional logic. We should ask David Clunie for feedback.
3) In progress
Illustrations
