4.6 Article

Estimation of Cortical Bone Microstructure From Ultrasound Backscatter

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TUFFC.2020.3033050

Keywords

Backscatter; Bones; Ultrasonic imaging; Cortical bone; Acoustics; Scattering; Numerical models; Attenuation; backscatter coefficient; cortical bone; osteoporosis; pore size; porosity; spectral analysis

Funding

  1. Agence nationale de la recherche [ANR-14-CE35-0030-01, DFG Ra1380/9-1]
  2. Deutsche Forschungsgemeinschaft through the TacoSound Project [ANR-14-CE35-0030-01, DFG Ra1380/9-1]
  3. German Ministry of Science and Education [13GW0234]
  4. German Ministry of Economic Affairs and Energy [03THW08H01]
  5. German Academic Exchange Service (DAAD) [91578351]
  6. Finnish Cultural Foundation [00151113]
  7. Agence Nationale de la Recherche (ANR) [ANR-14-CE35-0030] Funding Source: Agence Nationale de la Recherche (ANR)

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Multichannel pulse-echo ultrasound combined with spectral backscatter analysis offers quantitative information on cortical bone microstructural properties. The study demonstrates the potential of ultrasound in predicting pore structure and material properties in cortical bone, which could have a significant impact on preventing osteoporotic fractures.
Multichannel pulse-echo ultrasound using linear arrays and single-channel data acquisition systems opens new perspectives for the evaluation of cortical bone. In combination with spectral backscatter analysis, it can provide quantitative information about cortical microstructural properties. We present a numerical study, based on the finite-difference time-domain method, to estimate the backscatter cross section of randomly distributed circular pores in a bone matrix. A model that predicts the backscatter coefficient using arbitrary pore diameter distributions was derived. In an ex vivo study on 19 human tibia bones (six males, 13 females, 83.7 +/- 8.4 years), multidirectional ultrasound backscatter measurements were performed using an ultrasound scanner equipped with a 6-MHz 128-element linear array with sweep motor control. A normalized depth-dependent spectral analysis was performed to derive backscatter and attenuation coefficients. Site-matched reference values of tissue acoustic impedance Z , cortical thickness (Ct.Th), pore density (Ct.Po.Dn), porosity (Ct.Po), and characteristic parameters of the pore diameter (Ct.Po.Dm) distribution were obtained from 100-MHz scanning-acoustic microscopy images. Proximal femur areal bone mineral density (aBMD), stiffness S , and ultimate force Fu from the same donors were available from a previous study. All pore structure and material properties could be predicted using linear combinations of backscatter parameters with a median to high accuracy (0.28 <= adjusted R-2 <= 0.59). The combination of cortical thickness and backscatter parameter provided similar or better prediction accuracies than aBMD. For the first time, a method for the noninvasive assessment of the pore diameter distribution in cortical bone by ultrasound is proposed. The combined assessment of cortical thickness, sound velocity, and pore size distribution in a mobile, nonionizing measurement system could have a major impact on preventing osteoporotic fractures.

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