Paper
1 March 2017 Hierarchical patch-based co-registration of differently stained histopathology slides
Mehmet Yigitsoy, Günter Schmidt
Author Affiliations +
Abstract
Over the past decades, digital pathology has emerged as an alternative way of looking at the tissue at subcellular level. It enables multiplexed analysis of different cell types at micron level. Information about cell types can be extracted by staining sections of a tissue block using different markers. However, robust fusion of structural and functional information from different stains is necessary for reproducible multiplexed analysis. Such a fusion can be obtained via image co-registration by establishing spatial correspondences between tissue sections. Spatial correspondences can then be used to transfer various statistics about cell types between sections. However, the multi-modal nature of images and sparse distribution of interesting cell types pose several challenges for the registration of differently stained tissue sections. In this work, we propose a co-registration framework that efficiently addresses such challenges. We present a hierarchical patch-based registration of intensity normalized tissue sections. Preliminary experiments demonstrate the potential of the proposed technique for the fusion of multi-modal information from differently stained digital histopathology sections.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mehmet Yigitsoy and Günter Schmidt "Hierarchical patch-based co-registration of differently stained histopathology slides", Proc. SPIE 10140, Medical Imaging 2017: Digital Pathology, 1014009 (1 March 2017); https://doi.org/10.1117/12.2254266
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications and 3 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tissues

Image registration

Image segmentation

Image processing

Image resolution

Visualization

Multiplexing

Back to Top