Evaluating Registrations of Serial Sections With Distortions of the Ground Truths

Lobachev, Oleg; Funatomi, Takuya; Pfaffenroth, Alexander; Förster, Reinhold; Knudsen, Lars; Wrede, Christoph; Guthe, Michael; Haberthür, David; Hlushchuk, Ruslan; Salaets, Thomas; Toelen, Jaan; Gaffling, Simone; Mühlfeld, Christian; Grothausmann, Roman

doi:10.1109/access.2021.3124341

Cited by 2 publications

(1 citation statement)

References 158 publications

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“…Using such benchmark data could be used to verify and validate results found by other researchers who already considered expert-based matching as ground truth, e.g., [ 21 ] in an attempt to reduce inductive bias. A ground truth-based evaluation set for the benchmarking for the reconstruction of 3D-volumes by 2D ⟶ 2D registration has already been proposed by Lobachev et al [ 87 ]. Furthermore, different staining protocols need to be accounted for.…”

Section: Discussionmentioning

confidence: 99%

Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging

Nolte

Dullin

Svetlove³

et al. 2022

Radiology Research and Practice

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Classical analysis of biological samples requires the destruction of the tissue’s integrity by cutting or grinding it down to thin slices for (Immuno)-histochemical staining and microscopic analysis. Despite high specificity, encoded in the stained 2D section of the whole tissue, the structural information, especially 3D information, is limited. Computed tomography (CT) or magnetic resonance imaging (MRI) scans performed prior to sectioning in combination with image registration algorithms provide an opportunity to regain access to morphological characteristics as well as to relate histological findings to the 3D structure of the local tissue environment. This review provides a summary of prevalent literature addressing the problem of multimodal coregistration of hard- and soft-tissue in microscopy and tomography. Grouped according to the complexity of the dimensions, including image-to-volume (2D ⟶ 3D), image-to-image (2D ⟶ 2D), and volume-to-volume (3D ⟶ 3D), selected currently applied approaches are investigated by comparing the method accuracy with respect to the limiting resolution of the tomography. Correlation of multimodal imaging could position itself as a useful tool allowing for precise histological diagnostic and allow the a priori planning of tissue extraction like biopsies.

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Section: Discussionmentioning

confidence: 99%