RT info:eu-repo/semantics/article
T1 Patch-based nonlinear image registration for gigapixel whole slide images
A1 Lotz, J. M.
A1 Olesch, J.
A1 Muller, Benedikt
A1 Polzin, T.
A1 Galuschka, P.
A1 Lotz, J. M.
A1 Heldmann, S
A1 Laue, H
A1 González-Vallinas Garrachón, Margarita
A1 Warth, Arne
A1 Lahrmann, Bernd
A1 Grabe, N
A1 Sedlaczek, Oliver
A1 Breuhahn, Kai
A1 Modersitzki, J
K1 Cancer
K1 Patología digital
K1 Histopatología
K1 Registro de imágenes
K1 3207.13 Oncología
AB Image registration of whole slide histology images allows the fusion of fine-grained information-like different immunohistochemical stains-from neighboring tissue slides. Traditionally, pathologists fuse this information by looking subsequently at one slide at a time. If the slides are digitized and accurately aligned at cell level, automatic analysis can be used to ease the pathologist's work. However, the size of those images exceeds the memory capacity of regular computers. Methods: We address the challenge to combine a global motion model that takes the physical cutting process of the tissue into account with image data that is not simultaneously globally available. Typical approaches either reduce the amount of data to be processed or partition the data into smaller chunks to be processed separately. Our novel method first registers the complete images on a low resolution with a nonlinear deformation model and later refines this result on patches by using a second nonlinear registration on each patch. Finally, the deformations computed on all patches are combined by interpolation to form one globally smooth nonlinear deformation. The NGF distance measure is used to handle multistain images. Results: The method is applied to ten whole slide image pairs of human lung cancer data. The alignment of 85 corresponding structures is measured by comparing manual segmentations from neighboring slides. Their offset improves significantly, by at least 15%, compared to the low-resolution nonlinear registration. Conclusion/Significance: The proposed method significantly improves the accuracy of multistain registration which allows us to compare different antibodies at cell level.
PB Institute of Electrical and Electronics Engineers
SN 0018-9294
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/42584
UL http://uvadoc.uva.es/handle/10324/42584
LA eng
NO IEEE Transactions on biomedical engineering, 2016, Vol. 63, n. 9, p.1812-1819
NO Producción Científica
DS UVaDOC
RD 24-nov-2024