2017 Slicer Western Week/Python Phantom Segmentation Script

From VASST Wiki

Key Investigators

  • Colin McCurdy, Mohamed Moselhy

Project Description

Objective Approach and Plan Progress and Next Steps
  • Load DICOM imageset from python script
  • Segment phantom volume and important locations on phantom from background
  • analyze the full datasets and return simple statistics on the phantom
  • No simple loadDicom function, need to convert DICOM volumes into NRRD
  • Segmentation isn't perfect, needed to grow the background to cut out some of the noise surrounding the phantom
  • Needed to further automation so that the analysis works on all of my imagesets
  • Auto segmentation working on two imagesets
  • Built code (with help) to convert DICOM volume to NRRD and load into slicer
  • Setup basic format of analysis code
  • Next Steps:
  • clean up code
  • Finalize analysis
  • further generalize segmentation portion to ensure it works for all of my imagesets

Background and References