ChangeTracker
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Overview
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ChangeTracker is a 3D Slicer GUI module for monitoring slowly evolving tumors. This page will host the relevant information about ChangeTracker.
What's New
- Jan 12, 2009, New visualization features integrated
- Dec 27, 2008, DiameterEstimator tool is available for automatic estimation of tumor diameter from the binary image
- Nov 21, 2008, ChangeTracker now uses Linear registration command module for rigid registration.
Background
User information / Tutorials
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: Resolved: this appeared to be due to a lacking functionality in SliceCompositeNode, which invoked PropagateVolumeUpdate() on image load. This functionality can now be controlled via the DoPropagatVolumeUpdate in SliceComposite MRML node
- incorrect setting of the registration parameters results in registration producing empty volume, no error messages from the module: Resolved: committed a fix to CommandLineModuleLogic to update the module node status correctly to indicate the error, if module entry point returns non-zero. TODO: update ChangeTracker logic to account for this change
- 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: Resolved (?): data is intrinsically very difficult to align. Registration must be solved prior to using ChangeTrcker
- check and clean up file output procedures (..-TG directories)
Feature requests/Features under development
- multi-color volume rendering for tumor growth results: DONE
- use Compare view: DONE
- 3d box widget for ROI selection
- analysis of multiple time points
- testing
- Jean-Jacques Lemaire: would be nice to combine growth results with the 3D rendering of the estimated tumor volume
- Jean-Jacques Lemaire: improve user interface for tumor boundary identification -- something missing in the existing tools; would like to see better robustness of segmentation
Use cases
- Meningioma growth analysis
- Longitudinal lesion analysis for Lupus DBP
People
- Ron Kikinis
- Kilian Pohl
- Andriy Fedorov
Funding
Publications
- 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.