2013 Summer Project Week:Application of Statistical Shape Modeling to Robot Assisted Spine Surgery
Key Investigators
- Swiss Federal Institute of Technology EPFL: Marine Clogenson, Charles Baur
- KB Medical: Szymon Kostrzewski
Objective
The goal of the project is to generate a 3D model of the C2 cervical vertebra for surgery planning. An atlas-based segmentation technique is used to obtain the 3D model and we need to verify if this method can generate the accuracy required to perform C1-C2 transarticular screw placement.
Approach, Plan
A first module for statistical atlas building will be implemented which regroups all the different steps needed for its creation: alignment, registration, model building. Statismo, a framework for statistical shape modeling, and a Gaussian process for the registration will be used. A second module will be dedicated for atlas-based segmentation of the C2 vertebra in order to generate a 3D model for surgery planning. A C++ code for building an atlas has already been implemented using Statismo. Its integration in Slicer is currently under development. A database of 37 CT images is prepared for creating the atlas.
Progress
- The integration of Statismo (external library) in Slicer with a SuperBuildExtension has been done. It works on Linux and needs to solve some library problem on Mac.
- The CLI module for Atlas Building works and it is possible to display the variation of C2 vertebra following mode of variation.
- A scripted module to facilitate the manual segmentation of the C2 vertebra is under construction.
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a Slicer Module
References
- Luethi, M., Blanc, R., Albrecht, T., Gass, T., Goksel, O., Buechler, P., Kistler, M., Bousleiman, H., Reyes, M., Cattin, P., Vetter, T. Statismo – A framework for PCA based statistical models. In The Insight Journal, 2012