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3D visualization and morphometric analysis of spinal motion segments and vascular networks: A synchrotron radiation‐based micro‐CT study in mice.

Authors :
Guo, Zhu
Li, Chengjun
Cao, Yong
Jiang, Liyuan
Zhang, Yi
Li, Ping
Zhou, Yongchun
Duan, Chunyue
Hu, Jianzhong
Lu, Hongbin
Source :
Journal of Anatomy; Feb2022, Vol. 240 Issue 2, p268-278, 11p
Publication Year :
2022

Abstract

The structure of spinal motion segments and spinal vasculature is complicated. Visualizing the three‐dimensional (3D) structure of the spine may provide guidance for spine surgery. However, conventional imaging techniques fail to simultaneously obtain 3D images of soft and hard tissues, and achieving such coimaging states of the spine and its vascular networks remains a challenge. Synchrotron radiation micro‐CT (SRμCT) provides a relatively effective and novel method of acquiring detailed 3D information. In this study, specimens of the thoracic spine were obtained from six mice. SRμCT was employed to acquire 3D images of the structure, and histologic staining was performed for comparisons with the SRμCT images. The whole spinal motion segments and the spinal vascular network were simultaneously explored at high resolution. The mean thickness of the cartilaginous end plates (CEPs) and the volume of the intervertebral discs (IVDs) were calculated. The surface of the CEPs and the facet joint cartilage (FJC) were presented as heat maps, which allowed for direct visualization of the thickness distribution. Regional division revealed heterogeneity among the ventral, central, and dorsal parts of the CEPs and between the superior and inferior parts of the facet processes. Moreover, the connections and spatial morphology of the spinal vascular network were visualized. Our study indicates that SRμCT imaging is an ideal method for high‐resolution visualization and 3D morphometric analysis of the whole spinal motion segments and spinal vascular network. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00218782
Volume :
240
Issue :
2
Database :
Complementary Index
Journal :
Journal of Anatomy
Publication Type :
Academic Journal
Accession number :
154565100
Full Text :
https://doi.org/10.1111/joa.13556