An integrated statistical approach for volume reconstruction from unregistered sequential slices

Abstract

We address the problem of volume reconstruction from a sequence of cross-sections in the case where the cross-section positions are unknown. This implies performing simultaneous registration and reconstruction. We propose a statistical formulation of the problem leading to an energy minimization algorithm as well as an automatic calibration procedure for the energy parameters. This method has been developed in the context of micro-rotation confocal microscopy. Experiments in this context illustrate the ability of this method to reconstruct efficiently the object of interest.