2015 Summer Project Week:Dicom parsing with DCMJS

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Key Investigators

  • Nicolas Rannou
  • Michael Onken
  • Steve Pieper
  • Yves Martelli

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

Benchmark

Benchmark of DICOM parser libraries using benchmark.js (what-do-the-results-from-benchmark-js-mean).

These results were obtained on a Lenovo Flex2 laptop (Intel Core i3-4030U) under Microsoft Windows 8.1 using Mozilla Firefox (ff) 38.0.5 and Google Chrome v43.0.

Parsers: dcmjs (3fe78dd), dicomParser (v1.0.2) and dwv (v0.10.0).

Units are in operations/seconds.

  dcmjs   dicomParser   dwv  
  ff chrome ff chrome ff chrome
gdcm-CT-MONO2-8-abdo 320 112 16115 9974 4551 3640
gdcm-CR-MONO1-10-chest 249 83.13 8412 9004 3603 2804
osirix-toutatix-100 170 48.65 3245 3843 1411 995
osirix-goudurix 189 53.97 6346 3995 1885 1363
dicompyler-ct.0 187 60.86 8414 5156 2612 1930
gdcm-US-RGB-8-epicard 148 54.04 10418 10217 31.42 256
gdcm-US-RGB-8-esopecho 501 110 10309 10198 4642 3340
Average 252 75 9037 7484 2676 2047
        3.4    
          3.7  
    0.03        
      0.01