Spine and Vertebrae Segmentation
Geometric flows and statistical shape priors for CT spine segmentation.
Overview
This project developed computational methods to segment the human vertebral column and individual vertebrae from computed-tomography images.
The approach combines geometric flows with statistical shape priors to obtain anatomically coherent three-dimensional models of the spine, with applications in quantitative analysis and image-guided surgery.