Research

PHD Ongoing research :

My PhD project aims to develop a 4D image reconstruction technique using the Kinovis-CHU platform located at  Grenoble University Hospital, composed to two X-ray Carms and RGB cameras. The objective is to perform Low-Dose 4D volumetric reconstruction without using a scanner allowing less invasive and less costly acquisition as well as a reconstruction more faithful to the body motion.

The motion of the acquired body is used in the reconstruction process, rather than taking it as a noise factor.

Master Thesis:

This master thesis aimed to validate the feasibility of low dose Synchrotron Nano CT for bone data using a compressed sensing method and assess its scalability.
The compressed sensing problem is expressed as a constrained 2D total variation minimization and is solved efficiently using the Split Bregman method (SB-TV-2D). The result is compared to FBP reconstruction.