Introduction and Acknowledgements
Extension: Virtual Fracture Reconstruction
Hence, the main objective of the proposed project is to overcome these limitations by developing an algorithmic pipeline that is calculating and visualizing the optimal way of repositioning fracture fragments with a minimal amount of user interaction and without restrictions to particular types of fractures. In a two step approach, the fracture fragments will first be pre-aligned to a healthy reference bone and then aligned against each other. For these steps, texture information coming from CT images, surface properties of the bone fragments as well as prior knowledge about the shape of the healthy (=non-fractured) bone are used in order to identify candidate points for the registration using a nearest neighbor approach based on Mahalanobis distances between fragment surface points.
The module shall provide the possibility to perform a fully automated fracture reconstruction, but also to perform user guided reconstruction for very complex fractures with a large number of (small) bone fragments.
The extension consists of two modules. One CLI Module and one loadable module. The CLI module is providing the algorithmic core functionality for the fragment alignment process, whereas the loadable module manages the automated reconstruction pipeline and integrates user interaction.
Please note that this module is under active development, and is being made available for the purposes of beta testing and feedback evaluation! The functionality, GUI and workflows may change in the subsequent releases of the module. Moreover, parts of the original algorithm are written in CUDA. Due to some limitations for Slicer extensions, this CUDA code can currently not be provided in this extension. The CUDA part of the code is implementing a more flexible registration algorithm (EM-ICP), which can potentially lead to better reconstruction results. If you are interested in using this extended version of the code, please contact me.
The extensions provides the possibility to reconstruction/realign fracture fragments and visualize the correct reconstruction of the fracture and switch between reconstructed and not reconstructed fragment position for individual fragments. In combination with a volume rendering a better/more detailed pre-surgical planning process shall be supported. Furthermore, the optimal reconstruction provided by the extension can a also act as a reference for post-operative quality assessment of the "real" reconstruction.
Tutorial and description of panels
Using the first tab of the loadable module the user should provide the following input data:
-3D CT image(volume) of non fractured bone (='Reference image')
After providing the input data the 'Initialize reconstruction'-button should be pressed in order to create 3D models of the labelmaps and initialize the reconstruction process
If the user wants to provide a better manual interaction the transform sliders (from within the fracture reconstruction) module can be used. Better initialization will decrease the calculation times for the subsequent alignment process and potentially lead to better results. The "Reset manual transform" button to reset the postion of each fragment to the state prior to the manual interaction.
After the initialization process is finished the second tab will be opened. The 2D and 3D views will be updated and a surface rendering of the fragments and reference bone will be provided. The user can change colors, opacity and visibility for each single fragment.
After the first step of the reconstruction is finished and user can inspect the intermediate result. 2D and 3D views will be update according to the calculated transformations. At this point the user, the following scenarios are possible:
1) Good registration - Accept registration without performing further registration (fine tuning part will be skipped).
By pressing the "Start fine tuning" button the second part of the reconstruction process in which the fragments will be aligned against each other (without using the reference bone) will be started. The parameters for this step can be changed in the corresponding parameter tab ("Parameters for fine tuning")
After the calculations for the fine tuning step are finished, the last tab will be opened ("Result step 2"). Again 2D and 3D views will be updated accordingly and the same 4 scenarios as in the previous step are possible.
Information for Developers
- Source code of the module: https://github.com/???