1 research outputs found
Non-iterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissue
In this paper, we propose a novel non-iterative algorithm to simultaneously
estimate optimal rigid transformation for serial section images, which is a key
component in volume reconstruction of serial sections of biological tissue. In
order to avoid error accumulation and propagation caused by current algorithms,
we add extra condition that the position of the first and the last section
images should remain unchanged. This constrained simultaneous registration
problem has not been solved before. Our algorithm method is non-iterative, it
can simultaneously compute rigid transformation for a large number of serial
section images in a short time. We prove that our algorithm gets optimal
solution under ideal condition. And we test our algorithm with synthetic data
and real data to verify our algorithm's effectiveness.Comment: appears in IEEE International Symposium on Biomedical Imaging 2018
(ISBI 2018