MULTI-STAINING REGISTRATION OF LARGE HISTOLOGY IMAGES

Daniel Felipe Gonzalez Obando (1) , Astri F Frafjord (2) , Inger Øynebråten (2) , Alexandre Corthay (2) , Jean-Christophe F Olivo-Marin (1) , Vannary F Meas-Yedid (1)

1 BIA - Analyse d'images biologiques - Biological Image Analysis
2 Oslo University Hospital [Oslo]

Quantifying T cells inside tumorous tissue can help identifying immune profiles in order to improve prognosis and possibly develop immunotherapy. However, to identify T cells and cancerous cells in two consecutive staining slides is challenging: the tissue preparation introduces the problem of alignment on large size images with poor visual common information. This work presents a framework for aligning whole slide images by extracting their common information and performing non-rigid registration based on B-splines to solve this problem. Experiments show good results with a mean error of 20.34 ± 12.20µm on our images even if some developments are still needed. This preliminary work is publicly available as part of our open-source Icy platform.

Mots clés: Histology registration; deformable registration; image analysis; whole slide imaging

Domaines: Traitement du signal et de l'image [eess.SP]; Bio-Informatique, Biologie Systémique [q-bio.QM]

Daniel Felipe Gonzalez Obando, Astri F Frafjord, Inger Øynebråten, Alexandre Corthay, Jean-Christophe F Olivo-Marin, et al.. MULTI-STAINING REGISTRATION OF LARGE HISTOLOGY IMAGES. 2017 International Symposium on Biomedical Imaging (ISBI 2017), IEEE, May 2017, Melbourne, Australia. ⟨hal-01578420⟩