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AuthorTrahearn, Nicholas
AuthorEpstein, David
AuthorSnead, David
AuthorCree, Ian
AuthorRajpoot, Nasir
Available date2016-05-16T10:55:22Z
Publication Date2014-03
Publication NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ResourceScopus
CitationNicholas Trahearn; David Epstein; David Snead; Ian Cree ;and Nasir Rajpoot. " A fast method for approximate registration of whole-slide images of serial sections using local curvature ", Proc. SPIE 9041, Medical Imaging 2014: Digital Pathology, 90410E (March 20, 2014)
ISSN1605-7422
URIhttp://dx.doi.org/10.1117/12.2043308
URIhttp://hdl.handle.net/10576/4521
AbstractWe present a method for fast, approximate registration of whole-slide images (WSIs) of histopathology serial sections. Popular histopathology slide registration methods in the existing literature tend towards intensity-based approaches.1, 2 Further input, in the form of an approximate initial transformation to be applied to one of the two WSIs, is then usually required, and this transformation needs to be optimised. Such a transformation is not readily available in this context and thus there is a need for fast approximation of these parameters. Fast registration is achieved by comparison of the external boundaries of adjacent tissue sections, using local curvature on multiple scales to assess similarity. Our representation of curvature is a modified version of the Curvature Scale Space (CSS)3 image. We substitute zero crossings with signed local absolute maxima of curvature to improve the registration's robustness to the subtle morphological differences of adjacent sections. A pairwise matching is made between curvature maxima at scales increasing exponentially, the matching minimizes the distance between maxima pairs at each scale. The boundary points corresponding to the matched maxima pairs are used to estimate the desired transformation. Our method is highly robust to translation, rotation, and linear scaling, and shows good performance in cases of moderate non-linear scaling. On our set of test images the algorithm shows improved reliability and processing speed in comparison to existing CSS based registration methods.
Languageen
PublisherSPIE
SubjectApproximate Registration
Curvature
Curvature Scale Space
Histology
Histopathology
Registration
Serial Section
Whole Slide Images
TitleA fast method for approximate registration of whole-slide images of serial sections using local curvature
TypeConference Paper
Volume Number9041


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