Difference between revisions of "ChangeTracker"

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* registration of a new volume node with the scene results in update of the slice views
 
* 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
 
* incorrect setting of the registration parameters results in registration producing empty volume, no error messages from the module
* need to investigate reproducibility of registration and impact of the random seed initialization: ''need to have ReinitializeSeed() exposed in Linear registration module''
+
* need to investigate reproducibility of registration and impact of the random seed initialization: ''Linear registration updated with metric seed reinitialization''
  
 
=Feature requests/Features under development=
 
=Feature requests/Features under development=

Revision as of 19:43, 21 November 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
  • need to investigate reproducibility of registration and impact of the random seed initialization: Linear registration updated with metric seed reinitialization

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.