2014 Project Week:RT FormatConversions

Key Investigators

Jayashree Kalpathy-Cramer (MGH)

Andras

Csaba

John Evans (MGH)

Greg Sharp (MGH)

Project Description

Objective

• Evaluate different options for converting from DICOM-seg/NIFTI/nrrd (mask) to DICOM-RT (contours) and back.
• Compare performance of Slicer RT/plastimatch/others.

Approach, Plan

• Develop a test set with range of appearance of structures
  • overlapping
  • donuts

Progress

• Csaba prepared a python script (based on Slicer RT) for converting contours to label maps.
• Reporting module provides conversion from label map to DICOM-SEG
• Plastimatch had DICOM-RT import export
• Will test full roundtrip conversions using QIN lung segmentation challenge datasets
• Started creating a library of test cases with known issues (donuts, overlapping structures etc)
• Will also create synthetic datasets