NOTE: As of November 2018, the new home of DICOM4QI is here: https://dicom4qi.readthedocs.io

3D Slicer

1.Description of the platform/product:

2.Description of the relevant features of the platform:

  • are both single and multiple segments supported? yes how are the overlapping segments handled? solid color of the outline is shown for all segments; inner area is shown semi-transparent (see screenshot below showing both AIMonClearCanvas and Brainlab datasets from the Read task)

  • do you support both BINARY and FRACTIONAL segmentation types? only BINARY can be displayed; SEGs that are saved as FRACTIONAL will be read as BINARY (i.e., no mapping to fractional occupancy or probability will be done)
  • do you render the segment using the color specified in the DICOM object? yes
  • how do you communicate segment semantics to the user? Display of the segment semantics is provided in specialized Slicer modules. As of November 2016, semantics is shown in a tooltip over the color swatch in the list of segments in Segment Editor module (see screenshot below). Similar interface is provided in the Reporting module.

  • how do you support the user in defining the semantics of the object at the time segmentation is created? user can select from the terminology lists by double-clicking on the colored square while editing segment, see screenshot below. Color can also be specified. Certain combinations of codes have suggested colors.

3.Read task: load each of the DICOM SEG datasets that accompany the imaging series into your platform

Test dataset #1

Test dataset Result of rendering
3D Slicer
syngo.via
AIMonClearCanvas

Note: Brainlab dataset could not be loaded, since it does not have SliceThickness attribute (see CP-1426). This issue has been since fixed in Brainlab, but test datasets 1 and 2 have not been updated.

Test dataset #2

Test dataset Result of rendering
3D Slicer

Test dataset #3

Test dataset Result of rendering
3D Slicer

Test dataset #4

Test dataset Result of rendering
3D Slicer

4.Write task

  • segment the lung lesion using any method available in your platform; save the result as DICOM SEG; please include in the series description the name of your tool to simplify comparison tasks!
    • results are uploaded
  • run dciodvfy DICOM validator; iterate on resolving the identified issues as necessary
    • no errors, only warnings from dciodvfy