Difference between revisions of "2015 Summer Project Week:Dicom parsing with DCMJS"

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<h3>Progress</h3>
 
<h3>Progress</h3>
 
* Evaluation of current solutions
 
* Evaluation of current solutions
** yves:
 
*** pros: fast
 
*** cons: single frame and need to parse dicom header by hand in JS later on
 
** dicomparser: same
 
** dcmjs:
 
*** pro: relies on dcmtk, (almost) no need to manually parse dicom header by hand
 
*** cons: slower (150ms for dcmdump vs 30ms for other solutions)
 
 
** note: compilation of  dcmjs with -o3 or -of drasticly improves performance of dcmjs
 
** note: compilation of  dcmjs with -o3 or -of drasticly improves performance of dcmjs
 
* Proposed workflow
 
* Proposed workflow
 
** https://docs.google.com/drawings/d/1BX0NBIDPrrM-JGk9b1awL_w57f9rMvdTJSeVjT9bM5U
 
** https://docs.google.com/drawings/d/1BX0NBIDPrrM-JGk9b1awL_w57f9rMvdTJSeVjT9bM5U
 
** note: workflow relies on new dcmtk functionnalities. It will have to be evaluated in term of performance.
 
** note: workflow relies on new dcmtk functionnalities. It will have to be evaluated in term of performance.
 +
** https://github.com/andywer/threadpool-js
 
* Take dicom segmentations/models into account
 
* Take dicom segmentations/models into account
 
* Testing database
 
* Testing database

Revision as of 15:02, 24 June 2015

Home < 2015 Summer Project Week:Dicom parsing with DCMJS

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. Units are in operations/seconds.

  dcmjs-nico   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