Published: Tuesday, Apr 18, 2017
Updated: Sunday, Sep 2, 2018
DOI: https://dx.doi.org/10.1109%2FISBI.2017.7950552
Reference: Rossetti BJ, Wang F, Zhang P, Teodoro G, Brat DJ, Kong J. Dynamic registration for gigapixel serial whole slide images. InProceedings. IEEE International Symposium on Biomedical Imaging 2017 Apr (Vol. 2017, p. 424). NIH Public Access.

Dynamic gigapixel Image Registration

Method for dynamic registration of serial gigapixel images

High-throughput serial histology imaging provides a new avenue for the routine study of micro-anatomical structures in a 3D space. However, the emergence of serial whole slide imaging poses a new registration challenge, as the gigapixel image size precludes the direct application of conventional registration techniques. We developed a three-stage registration method to dynamically produce registered subvolumes from serial whole slide images. We validate our algorithm with gigapixel images of serial brain tumor sections and synthetic image volumes. The qualitative and quantitative assessment results demonstrate the efficacy of our approach and suggest its promise for 3D histology reconstruction analysis.

A montage (left) and 3D rendering (right) of a registered 4096x4096 pixel subvolume from a serial set of brain tumor sections.