Difference between revisions of "ChangeTracker"

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* need to investigate reproducibility of registration and impact of the random seed initialization: ''Linear registration updated with metric seed reinitialization''
 
* need to investigate reproducibility of registration and impact of the random seed initialization: ''Linear registration updated with metric seed reinitialization''
 
* investigate reasons for segfault with the weird dataset from Yanling
 
* investigate reasons for segfault with the weird dataset from Yanling
 +
* check and clean up file output procedures (..-TG directories)
  
 
=Feature requests/Features under development=
 
=Feature requests/Features under development=

Revision as of 13:31, 9 December 2008

Home < ChangeTracker

Overview

THIS PAGE IS UNDER CONSTRUCTION -- CHECK BACK OFTEN!

ChangeTracker is a 3D Slicer GUI module for monitoring slowly evolving tumors. This page will host the relevant information about ChangeTracker.

What's New

  • Nov 21, 2008, ChangeTracker now uses Linear registration command module for rigid registration.

Background

User information / Tutorials

  • Detecting subtle change in pathology: slides, data

Technical details

Bugs / Known issues

  • during "Analysis type step", Slicer crashes if "Analyze" button is hit more than once
  • registration of a new volume node with the scene results in update of the slice views
  • incorrect setting of the registration parameters results in registration producing empty volume, no error messages from the module: Current implementation of CommandLineModule does not evaluate return value from the module entry point. Module error handling needs to be re-examined. Posted request to slicer-devel
  • need to investigate reproducibility of registration and impact of the random seed initialization: Linear registration updated with metric seed reinitialization
  • investigate reasons for segfault with the weird dataset from Yanling
  • check and clean up file output procedures (..-TG directories)

Feature requests/Features under development

  • multi-color volume rendering for tumor growth results
  • use Compare view
  • 3d box widget for ROI selection
  • analysis of multiple time points
  • testing

People

  • Ron Kikinis
  • Kilian Pohl
  • Andriy Fedorov

Funding

Publications

  1. E.Konukoglu, W.M.Wells, S.Novellas, N.Ayache, R.Kikinis, P.M.Black, K.M.Pohl. Monitoring Slowly Evolving Tumors. Proc. of 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2008, pp.812-815 link

Contact

Please contact Andriy Fedorov for further information.