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


Journal

Radiology research and practice
ISSN: 2090-1941
Titre abrégé: Radiol Res Pract
Pays: Egypt
ID NLM: 101566860

Informations de publication

Date de publication:
2022
Historique:
received: 01 07 2022
accepted: 17 08 2022
entrez: 21 11 2022
pubmed: 22 11 2022
medline: 22 11 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36408297
doi: 10.1155/2022/6765895
pmc: PMC9668453
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

6765895

Informations de copyright

Copyright © 2022 Philipp Nolte et al.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest regarding the publication of this paper.

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Auteurs

Philipp Nolte (P)

Faculty of Engineering and Health, University of Applied Sciences and Arts, Goettingen 37085, Germany.
Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen 37075, Germany.
Department of Trauma Surgery, Orthopedics and Plastic Surgery, University Medical Center Goettingen, Gottingen 37075, Germany.

Christian Dullin (C)

Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen 37075, Germany.
Translational Molecular Imaging, Max-Planck Institute for Multidisciplinary Sciences, City Campus, 37075 Goettingen, Germany.
Department for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg 69120, Germany.

Angelika Svetlove (A)

Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen 37075, Germany.
Translational Molecular Imaging, Max-Planck Institute for Multidisciplinary Sciences, City Campus, 37075 Goettingen, Germany.

Marcel Brettmacher (M)

Faculty of Engineering and Health, University of Applied Sciences and Arts, Goettingen 37085, Germany.

Christoph Rußmann (C)

Faculty of Engineering and Health, University of Applied Sciences and Arts, Goettingen 37085, Germany.
Brigham and Women's Hospital, Harvard Medical School, Boston 02155, MA, USA.

Arndt F Schilling (AF)

Department of Trauma Surgery, Orthopedics and Plastic Surgery, University Medical Center Goettingen, Gottingen 37075, Germany.

Frauke Alves (F)

Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen 37075, Germany.
Translational Molecular Imaging, Max-Planck Institute for Multidisciplinary Sciences, City Campus, 37075 Goettingen, Germany.

Bernd Stock (B)

Faculty of Engineering and Health, University of Applied Sciences and Arts, Goettingen 37085, Germany.

Classifications MeSH