BOROVEC, J. - KYBIC, J. - BUŠTA, M. - ORTIZ-DE-SOLORZANO, C. - MUNOZ-BARRUTIA, A.: Registration of multiple stained histological sections. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2013 (ISBI2013). New York: IEEE, 2013, p. 1034-1037. ISBN 978-1-4673-6456-0. DOI: 10.1109/ISBI.2013.6556654
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.
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eng
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non-rigid registration
eng
dc.subject
superpixel
eng
dc.subject
multiclass matching
eng
dc.subject
light microscopy images
eng
dc.subject
lung cancer
eng
dc.title
Registration of multiple stained histological sections