Comparison study on the feasibility of photoacoustic power spectrum analysis in osteoporosis detection

Weizhen He; Yunhao Zhu; Ting Feng; Huaideng Wang; Jie Yuan; Guan Xu; Xueding Wang; Paul Carson

doi:10.1117/12.2250677

3 March 2017 Comparison study on the feasibility of photoacoustic power spectrum analysis in osteoporosis detection

Weizhen He, Yunhao Zhu, Ting Feng, Huaideng Wang, Jie Yuan, Guan Xu, Xueding Wang, Paul Carson

Proceedings Volume 10064, Photons Plus Ultrasound: Imaging and Sensing 2017; 100645H (2017) https://doi.org/10.1117/12.2250677
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Osteoporosis is a progressive bone disease which is characterized by a decrease in the bone mass and deterioration in bone micro-architecture. In theory, photoacoustic (PA) imaging analysis has potential to obtain the characteristics of the bone effectively. Previous study demonstrated that photoacoustic spectral analysis (PASA) method with the qualified parameter slope could provide an objective assessment of bone microstructure and deterioration. In this study, we tried to compare PASA method with the traditional quantitative ultrasound (QUS) method in osteoporosis assessment. Numerical simulations of both PA and ultrasound (US) signal are performed on computerized tomographic (CT) images of trabecular bone with different bone mineral densities (BMDs). Ex vivo experiments were conducted on porcine femur bone model of different BMDs. We compared the quantified parameter slope and the broadband ultrasound attenuation (BUA) coefficient from the PASA and QUS among different bone models, respectively. Both the simulation and ex vivo experiment results show that bone with low BMD has a higher slope value and lower BUA value. Our result demonstrated that the PASA method has the same efficacy with QUS in bone assessment, considering PA is a non-ionizing, non-invasive technique, PASA method holds potential for clinical diagnosis in osteoporosis and other bone diseases.

Citation Download Citation

Weizhen He, Yunhao Zhu, Ting Feng, Huaideng Wang, Jie Yuan, Guan Xu, Xueding Wang, and Paul Carson "Comparison study on the feasibility of photoacoustic power spectrum analysis in osteoporosis detection", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100645H (3 March 2017); https://doi.org/10.1117/12.2250677

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