2015 Summer Project Week:Dicom parsing with DCMJS

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  Projects List

Key Investigators

• Nicolas Rannou
• Michael Onken
• Steve Pieper

Project Description

Objective

• Define target DICOM types
• Define a good workflow to parse targets with DCMJS.
• Define required JS models to support the workflow.
• Evaluate DicomParser from cornerstone team.

Approach, Plan

• Talk with DICOM/DCMTK experts to get some feedback on best strategy.
• Write a demo to showcase js models and dicom parsing workflows.

Progress

• Evaluated speed of current solutions
  • dcmjs slower (150ms for dcmdump vs 30ms for other solutions)
  • compilation of dcmjs with -o3 or -of drasticly improves performance of dcmjs
• Limitations of current solutions
  • single frame dicom images
  • hard to re-use
  • hard to extend
• Proposed workflow
  • https://docs.google.com/drawings/d/1BX0NBIDPrrM-JGk9b1awL_w57f9rMvdTJSeVjT9bM5U
  • workflow relies on new dcmtk functionnalities
• Take dicom segmentations/models into account
• Testing database