IReSISD: Integrated Registration, Segmentation, and Interpolation for 3D/4D Sparse Data

2009-2013

Summary

This project introduces a new formulation of the level set method that allows 3D/4D modelling from sparse data volumes. It performs simultaneous registration, 3D/4D segmentation, and shape interpolation. This plateform has been tested with various tomographic medical images and with Kinect’s 3D point clouds.

Partner: Bristol Heart Institute

Funding body: Doctoral school, University of Bristol

Role in the project: PhD student

Memoire: Download here

Code: Download here