2014 Summer Project Week: DICOM SEG conversion to support archival of QIN Grand challenges results

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Home < 2014 Summer Project Week: DICOM SEG conversion to support archival of QIN Grand challenges results

Key Investigators

  • Jayashree Kalpathy-Cramer, MGH
  • Andrey Fedorov, BWH
  • Steve Pieper, Isomics
  • David Clunie, PixelMed (available to answer questions)

Project Description

Various challenges are being conducted under the auspices of the NCI Quantitative Imaging Network (QIN). CT Segmentation challenge moist run is now completed, and the segmentation results need to be deposited to The Cancer Imaging Archive (TCIA). QIN aims to use DICOM Segmentation Object as the format for representing these segmentation results. Our goal is to provide tools in 3D Slicer to support conversion into DICOM SEG from the research formats used in the challenge.

Objective

  • use [1] extension as the basis
  • identify and fix limitations, if any
  • confirm the resulting objects are standard-compliant

Approach, Plan

  • define the terminology used to represent the results
  • apply tools to representative datasets
  • confirm compliance using DICOM validator

Progress

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