Validation and testing of 3D Slicer modules implementing the Utah segmentation algorithm for traumatic brain injury

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  Projects List

Key Investigators

• Utah: Bo Wang, Marcel Prastawa, Guido Gerig
• UCLA: Andrei Irimia, Micah Chambers, Jack Van Horn

Objective

• The primary objective is for the Utah team to coordinate with UCLA regarding the release of a Slicer module to perform multimodal automatic segmentation of TBI using the methodologies developed by the Utah team.
• One planned topic of interest includes a progress update to the UCLA group on the current status of the matlab/C++/VTK translation of the Utah algorithm
• We intend to spend some time on testing the method as well as on getting feedback on the best way to integrate the algorithm within Slicer
• It would also be useful to demonstrate how the algorithm performs on the UCLA data which have already been made available to the Utah team

Approach, Plan

• Bo and Marcel will be working together on the C++ implementation.
• Test and debug the preliminary code.
• Try to build the command-line module.
• Discuss with our collaborators from UCLA about their requirements.

Progress

Delivery Mechanism

• Slicer module
  • Standalone module (command line) for the first step

References

1. TBI DBP
2. Bo Wang, Marcel Prastawa, Andrei Irimia, Micah C. Chambers, Neda Sadeghi, Paul M. Vespa, John D. Van Horn, Guido Gerig, Analyzing Imaging Biomarkers for Traumatic Brain Injury Using 4D Modeling of Longitudinal MRI, In IEEE ISBI 2013 .
3. Bo Wang, Marcel Prastawa, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Guido Gerig, Segmentation of Serial MRI of TBI patients using Personalized Atlas Construction and Topological Change Estimation, In Proceedings of IEEE ISBI 2012, pp. 1152--1155. 2012.