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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.

Author: Zhiyuan Liu
Contributors: Pablo Hernandez-Cerdan, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Jared Vicory, Junpyo Hong, Stephen M. Pizer
Contact: Zhiyuan Liu, zhiy at cs dot unc dot edu

Extension Description

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

Use Cases

Sample data can be found here.


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