Bone Adaptation as Level Set Motion

Try curvature based bone adaptation for yourself!

_{*These images are created by incrementing 50 years of loss one year at a time. They are rendered directly from the embedding function using Marching Cubes. From left to right the surfaces are: Variable thickness rod, constant thickness rod, resorbed rod, resorbing rod, resorbed plate, constant plate.}

If you find any of this code useful, please cite the following work:

@inproceedings{besler2018adaptation,
	title={Bone Adaptation as Level Set Motion},
	author={Besler, Bryce A and Gabel, Leigh and Burt, Lauren A and Forkert, Nils D and Boyd, Steven K},
 	booktitle={International Workshop and Challenge on Computational Methods and Clinical Applications in Musculoskeletal Imaging},
	year={2018},
	organization={Springer}
}

Requirements

• ITK v4.12
• CMake
• Conda (Python only)

File Structure

There exists four directories

• Curvature Handy tool for visualizing curvature
• Initialize Given a segmented dataset, use this to initialize phi
• Iteration Given a phi, use this to run one iteration
• Python Various python scripts that go along with the paper

Initialize and Iteration form the majority of the work. The Python scripts are useful for preprocessing, visualization, and implicit functions.