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