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MICCAI
2007
Springer

A Bayesian 3D Volume Reconstruction for Confocal Micro-rotation Cell Imaging

15 years 11 days ago
A Bayesian 3D Volume Reconstruction for Confocal Micro-rotation Cell Imaging
Abstract. Recently, micro-rotation confocal microscopy has enabled the acquisition of a sequence of slices for a non-adherent living cells where the slices' positions are roughly controlled by a dielectric-field biological cage. The high resolution volume reconstruction requires then the integration of precise alignment of slice positions. We propose in the Bayesian context, a new method combining both slice positioning and 3D volume reconstruction simultaneously, which leads naturally to an energy minimization procedure of a variational problem. An automatic calibration paradigm via Maximum Likelihood estimation (MLE) principle is used for the relative hyper-parameter determination. We provide finally experimental comparison results on both conventional z-stack confocal images and 3D volume reconstruction from micro-rotation slices of the same non-adherent living cell to show its potential biomedical application.
Alain Trouvé, Bernard Chalmond, Yong Yu
Added 14 Nov 2009
Updated 14 Nov 2009
Type Conference
Year 2007
Where MICCAI
Authors Alain Trouvé, Bernard Chalmond, Yong Yu
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