Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695-8212, USA.
Center for Regenerative Therapies, Charité Universitätsmedizin Berlin, Berlin, Germany.
J Acoust Soc Am. 2019 Aug;146(2):1015. doi: 10.1121/1.5121010.
While osteoporosis assessment has long focused on the characterization of trabecular bone, the cortical bone micro-structure also provides relevant information on bone strength. This numerical study takes advantage of ultrasound multiple scattering in cortical bone to investigate the effect of pore size and pore density on the acoustic diffusion constant. Finite-difference time-domain simulations were conducted in cortical microstructures that were derived from acoustic microscopy images of human proximal femur cross sections and modified by controlling the density (Ct.Po.Dn) ∈[5-25] pore/mm and size (Ct.Po.Dm) ∈[30-100] μm of the pores. Gaussian pulses were transmitted through the medium and the backscattered signals were recorded to obtain the backscattered intensity. The incoherent contribution of the backscattered intensity was extracted to give access to the diffusion constant D. At 8 MHz, significant differences in the diffusion constant were observed in media with different porous micro-architectures. The diffusion constant was monotonously influenced by either pore diameter or pore density. An increase in pore size and pore density resulted in a decrease in the diffusion constant (D =285.9Ct.Po.Dm, R=0.989 , p=4.96×10,RMSE=0.06; D=6.91Ct.Po.Dn, R=0.94, p=2.8×10 , RMSE=0.09), suggesting the potential of the proposed technique for the characterization of the cortical microarchitecture.
虽然骨质疏松症评估长期以来一直侧重于小梁骨的特征描述,但皮质骨的微观结构也提供了有关骨强度的相关信息。这项数值研究利用皮质骨中的超声多重散射来研究孔径和孔密度对声扩散常数的影响。在源自人体股骨近端横截面的声显微镜图像的皮质微结构中进行了有限差分时间域模拟,并通过控制密度(Ct.Po.Dn)∈[5-25]孔/毫米和孔径(Ct.Po.Dm)∈[30-100]μm来修改微结构。高斯脉冲通过介质传输,记录背散射信号以获得背散射强度。从背散射强度中提取非相干贡献,以获得扩散常数 D。在 8MHz 下,具有不同多孔微观结构的介质中观察到扩散常数的显著差异。扩散常数受到孔径或孔密度的单调影响。孔径和孔密度的增加导致扩散常数降低(D=285.9Ct.Po.Dm,R=0.989,p=4.96×10,RMSE=0.06;D=6.91Ct.Po.Dn,R=0.94,p=2.8×10,RMSE=0.09),表明该技术在皮质微结构特征描述方面具有潜在应用价值。