Registration of multiple stained histological sections

Abstract

The analysis of protein-level multigene expression signature maps computed from the fusion of differently stained immunohistochemistry images is an emerging tool in cancer management. Creating these maps requires registering sets of histological images, a challenging task due to their large size, the non-linear distortions existing between consecutive sections and to the fact that the images correspond to different histological stains and thus, may have very different appearance. In this manuscript, we present a novel segmentation-based registration algorithm that exploits a multi-class pyramid and optimizes a fuzzy class assignment specially designed for this task. Compared to a standard nonrigid registration, the proposed method achieves an improved matching on both synthetic as well as real histological images of cancer lesions.

DOI: 10.1109/ISBI.2013.6556654

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Cite this paper

@inproceedings{Borovec2013RegistrationOM, title={Registration of multiple stained histological sections}, author={Jiri Borovec and Jan Kybic and Michael Busta and Carlos Ortiz-de-Solorzano and Arrate Mu{\~n}oz-Barrutia}, booktitle={ISBI}, year={2013} }