Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging
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 info...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Radiology Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2022/6765895 |
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| author | Philipp Nolte Christian Dullin Angelika Svetlove Marcel Brettmacher Christoph Rußmann Arndt F. Schilling Frauke Alves Bernd Stock |
| author_facet | Philipp Nolte Christian Dullin Angelika Svetlove Marcel Brettmacher Christoph Rußmann Arndt F. Schilling Frauke Alves Bernd Stock |
| author_sort | Philipp Nolte |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b17844a2619943f8a48d12938f76c572 |
| institution | Kabale University |
| issn | 2090-195X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Radiology Research and Practice |
| spelling | doaj-art-b17844a2619943f8a48d12938f76c5722025-08-20T03:39:23ZengWileyRadiology Research and Practice2090-195X2022-01-01202210.1155/2022/6765895Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance ImagingPhilipp Nolte0Christian Dullin1Angelika Svetlove2Marcel Brettmacher3Christoph Rußmann4Arndt F. Schilling5Frauke Alves6Bernd Stock7Faculty of Engineering and HealthInstitute for Diagnostic and Interventional RadiologyInstitute for Diagnostic and Interventional RadiologyFaculty of Engineering and HealthFaculty of Engineering and HealthDepartment of Trauma SurgeryInstitute for Diagnostic and Interventional RadiologyFaculty of Engineering and HealthClassical 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.http://dx.doi.org/10.1155/2022/6765895 |
| spellingShingle | Philipp Nolte Christian Dullin Angelika Svetlove Marcel Brettmacher Christoph Rußmann Arndt F. Schilling Frauke Alves Bernd Stock Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging Radiology Research and Practice |
| title | Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging |
| title_full | Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging |
| title_fullStr | Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging |
| title_full_unstemmed | Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging |
| title_short | Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging |
| title_sort | current approaches for image fusion of histological data with computed tomography and magnetic resonance imaging |
| url | http://dx.doi.org/10.1155/2022/6765895 |
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