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

AIM on ClearCanvas

DISCLAIMER: These tests were performed by Andrey Fedorov using publicly available version of the software, since no response was obtained from the AIM on ClearCanvas group.

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? semi-transparent color overlay (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? the user can trigger display of the panel showing the semantic information for the displayed segment (see screenshot below)

  • how do you support the user in defining the semantics of the object at the time segmentation is created? user can select from a pre-defined list of terms

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

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

Andrey Fedorov could not understand how to use the software interface to generate new segments.