Imaging of ultrasound specularity at cortical bone interfaces to detect unbalanced remodeling

A preliminary study

Journal Article (2026)
Author(s)

Amadou S. Dia (Sorbonne Université)

Salomé Vignat (Sorbonne Université)

Guillaume Renaud (TU Delft - Applied Sciences, Sorbonne Université)

Quentin Grimal (Sorbonne Université)

Research Group
ImPhys/Renaud group
DOI related publication
https://doi.org/10.1016/j.ultras.2026.108213 Final published version
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Publication Year
2026
Language
English
Research Group
ImPhys/Renaud group
Journal title
Ultrasonics
Volume number
168
Article number
108213
Downloads counter
20
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Abstract

The region near the interface between cortical bone and the medullary cavity—the endosteal surface—is of particular interest for the early detection of osteoporosis. This region is typically the first to exhibit signs of unbalanced remodeling (enlarged pores and increased surface roughness). In this study, we analyze ultrasound reflection at the endosteal surface to introduce a novel potential biomarker of cortical bone health based on specularity. Our hypothesis is that increased pore size and surface roughness enhance ultrasound scattering, thereby reducing specular reflection. We reconstruct maps of specularity by combining a signal processing technique initially designed to enhance specular reflectors in soft tissues with a beamforming technique that accounts for refraction at bone–soft tissue interfaces. Specularity values (between 0 and 1) quantify the similarity between received signals and signals from an ideal specular reflector. Using numerical simulations and ex vivo measurements with a 2.5 MHz phased array we highlight a strong relationship between specularity and bone microstructure, as assessed by high-resolution micro-computed tomography. Among 12 regions of interest (ROI) in the femoral bone of three donors, 8 ROIs without large pores showed high specularity (>0.5) in over 50% of pixels, in contrast to 4 ROIs with signs of extensive remodeling. Both pore volume fraction and pore size were strongly associated with specularity. In simple linear regression analyses, each parameter individually explained 84% of the variability in specularity. These findings suggest that specularity reflects bone microstructure and may potentially serve as a sensitive marker for identifying cortical bone degradation near the endosteal surface.

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