Characterization of bone microstructure using photoacoustic spectrum analysis

Ting Feng; Kenneth M. Kozloff; Guan Xu; Sidan Du; Jie Yuan; Cheri X. Deng; Xueding Wang

doi:10.1117/12.2078258

11 March 2015 Characterization of bone microstructure using photoacoustic spectrum analysis

Ting Feng, Kenneth M. Kozloff, Guan Xu, Sidan Du, Jie Yuan, Cheri X. Deng, Xueding Wang

Proceedings Volume 9323, Photons Plus Ultrasound: Imaging and Sensing 2015; 93234I (2015) https://doi.org/10.1117/12.2078258
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

Osteoporosis is a progressive bone disease that is characterized by a decrease in bone mass and deterioration in microarchitecture. This study investigates the feasibility of characterizing bone microstructure by analyzing the frequency spectrum of the photoacoustic signals from the bone. Modeling and numerical simulation of photoacoustic signals and their frequency-domain analysis were performed on trabecular bones with different mineral densities. The resulting quasilinear photoacoustic spectra were fit by linear regression, from which spectral parameter slope can be quantified. The modeling demonstrates that, at an optical wavelength of 685 nm, bone specimens with lower mineral densities have higher slope. Preliminary experiment on osteoporosis rat tibia bones with different mineral contents has also been conducted. The finding from the experiment has a good agreement with the modeling, both demonstrating that the frequency-domain analysis of photoacoustic signals can provide objective assessment of bone microstructure and deterioration. Considering that photoacoustic measurement is non-ionizing, non-invasive, and has sufficient penetration in both calcified and noncalcified tissues, this new technology holds unique potential for clinical translation.

Citation Download Citation

Ting Feng, Kenneth M. Kozloff, Guan Xu, Sidan Du, Jie Yuan, Cheri X. Deng, and Xueding Wang "Characterization of bone microstructure using photoacoustic spectrum analysis", Proc. SPIE 9323, Photons Plus Ultrasound: Imaging and Sensing 2015, 93234I (11 March 2015); https://doi.org/10.1117/12.2078258

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