Introduction and Acknowledgements
Acknowledgements: This work is part of Slicer Shape Analysis Toolbox (SlicerSALT), funded by NIH NIBIB R01EB021391 (Shape Analysis Toolbox for Medical Image Computing Projects), as well as the Slicer community.
This extension is an open source tool to initialize, refine and visualize skeletal representation (abbreviated as s-rep) of 3D objects in biomedical images. The main features of this extension include:
- Initialize an s-rep by mean curvature flow of an object boundary
- Refine an s-rep to fit an object boundary
- Visualize the s-rep
S-reps have a number of advantages in shape analysis of human organs. Some previous research has shown the superiority of using s-reps to perform hypothesis testing, classification and shape distribution analysis.
- Skeletal Representation Initializer
- Skeletal Representation Refiner
- Skeletal Representation Visualizer
Sample data can be found here.
- Stephen M. Pizer, Junpyo Hong, Jared Vicory, J. S. Marron, and others, "Object Shape Representation via Skeletal Models (s-reps) and Statistical Analysis" in Riemannian Geometric Statistics in Medical Image Analysis, no. (Xavier Pennec, Stefan Sommer, and Tom Fletcher, eds.), 2019.
- Source code can be found https://github.com/KitwareMedical/SlicerSkeletalRepresentation