Difference between revisions of "2009 Winter Project Week ChangeTracker"
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<h1>Approach, Plan</h1> | <h1>Approach, Plan</h1> | ||
+ | We consider the following improvements to ChangeTracker: | ||
* Extending the interface to allow analysis of more than two images | * Extending the interface to allow analysis of more than two images | ||
* Volume rendering of tumor segmentation: visualization and 3d widget for volume cropping | * Volume rendering of tumor segmentation: visualization and 3d widget for volume cropping | ||
* Using Lightbox for tumor progression visualization | * Using Lightbox for tumor progression visualization | ||
− | * | + | * Robustness of initial tumor segmentation. Currently, we use user-guided thresholding. It must be quick, with minimum input from the user. Discuss possible approaches with Marcel, other groups in tumor segmentation research. |
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Revision as of 15:25, 15 December 2008
Home < 2009 Winter Project Week ChangeTracker![]() Return to Project Week Main Page |
Key Investigators
- Andriy Fedorov (SPL)
- Marcel Prastawa
Objective
ChangeTracker is a software tool for quantification of the subtle changes in pathology. The module provides a workflow pipeline that combines user input with the medical data. As a result we provide quantitative volumetric measurements of growth/shrinkage together with the volume rendering of the tumor and color-coded visualization of the tumor growth/shrinkage.
The objective at this meeting is to determine the status of the Slicer3 components needed for enhanced functionality of ChangeTracker, identify new uses of ChangeTracker, and propose the tentative roadmap for ChangeTracker evolution for the next 6 months.
Approach, Plan
We consider the following improvements to ChangeTracker:
- Extending the interface to allow analysis of more than two images
- Volume rendering of tumor segmentation: visualization and 3d widget for volume cropping
- Using Lightbox for tumor progression visualization
- Robustness of initial tumor segmentation. Currently, we use user-guided thresholding. It must be quick, with minimum input from the user. Discuss possible approaches with Marcel, other groups in tumor segmentation research.
Progress
References
- 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