Stanford Simbios group
- 1 Aim
- 2 Process Flowchart
- 3 Progress
- 4 Datasets
To develop a generic semi-automatic segmentation toolkit to convert images of musculoskeletal structures to 3D models.
Atlas Generation from Input MR Images
Model Generation from Input MR Images
Pre-Segmented models for femur, patella and tibia are obtained for a patient (in .stl format). This models can be prepared using the hypermesh software. The models contain vertices of triangles representing femur, tibia and patella regions.
Create a filled label map using PolyDataToFilledLabelMap module in slicer
The models generated in the above step are closed but hollow. But EM Segmentation requires the atlas given to be in closed filled format. Hence we converted the hollow closed models into filled label volumes using the module PolyDataToFilledLabelMap module in Slicer.