Virtual endoscopic imaging of the spine

3D digital anatomic angioarchitecture of the mouse brain using synchrotron-radiation-based propagation phase-contrast imaging

Thorough investigation of the three-dimensional (3D) configuration of the vasculature of mouse brain remains technologically difficult because of its complex anatomical structure. In this study, a systematic analysis is developed to visualize the 3D angioarchitecture of mouse brain at ultrahigh resolution using synchrotron-radiation-based propagation phase-contrast imaging. This method provides detailed restoration of the intricate brain microvascular network in a precise 3D manner. In addition to depicting the delicate 3D arrangements of the vascular network, 3D virtual micro-endoscopy is also innovatively performed to visualize randomly a selected vessel within the brain for both external 3D micro-imaging and endoscopic visualization of any targeted microvessels, which improves the understanding of the intrinsic properties of the mouse brain angioarchitecture. Based on these data, hierarchical visualization has been established and a systematic assessment on the 3D configuration of the mouse brain microvascular network has been achieved at high resolution which will aid in advancing the understanding of the role of vasculature in the perspective of structure and function in depth. This holds great promise for wider application in various models of neurovascular diseases.

Morphometric Analysis of Rat Spinal Cord Angioarchitecture by Phase Contrast Radiography: From 2D to 3D Visualization

STUDY DESIGN

An advanced imaging of vasculature with synchrotron radiation X-ray in a rat model.

OBJECTIVE

To develop the potential for quantitative assessment of vessel network from two-dimensional (2D) to 3D visualization by synchrotron radiation X-ray phase contrast tomography (XPCT) in rat spinal cord model.

SUMMARY OF BACKGROUND DATA

Investigation of microvasculature contributes to the understanding of pathological development of spinal cord injury. A few of X-ray imaging is available to visualize vascular architecture without usage of angiography or invasive casting preparation.

METHODS

A rat spinal cord injury model was produced by modified Allen method. Histomorphometric detection was simultaneously analyzed by both histology and XPCT from 2D to 3D visualization. The parameters including tissue lesion area, microvessel density, vessel diameter, and frequency distribution of vessel diameter were evaluated.

RESULTS

XPCT rendered the microvessels as small as capillary scale with a pixel size of 3.7 μm. It presented a high linear concordance for characterizing the 2D vascular morphometry compared with the histological staining (r = 0.8438). In the presence of spinal cord injury model, 3D construction quantified the significant angioarchitectural deficiency in the injury epicenter of cord lesion (P<0.01).

CONCLUSION

XPCT has a great potential to detect the smallest vascular network with pixel size up to micron dimension. It is inferred that the loss of abundant microvessels (≤40 μm) is responsible for local ischemia and neural dysfunction. XPCT holds a promise for morphometric analysis from 2D to 3D imaging in experimental model of neurovascular disorders.

LEVEL OF EVIDENCE

N/A.