Department of Chemistry, Graduate School of Science, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku, Tokyo, 162-8601, Japan.
Water Frontier Science & Technology Research Center, Research Institute for Science & Technology, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku, Tokyo, 162-8601, Japan.
Anal Sci. 2020 Dec 10;36(12):1487-1491. doi: 10.2116/analsci.20P076. Epub 2020 Aug 14.
Since the elasticity of biological tissues is related to their pathological states, the development of new methods allowing for non-invasive measurements of the elasticity has been desired in the medical field. We present a characterization of the elasticity of objects buried in media from the temporal waveforms of photoacoustic signals. As the increment in Young's moduli of the objects, the frequency corresponding to the gravitational center of the power spectra obtained by the Fourier-transformation of the waveforms is increased. In our experiment configuration, the elasticity of buried objects is able to be identified up to about 1 MPa of Young's modulus from the frequency. These results suggest that measurements on the temporal waveforms of photoacoustic signals and the resultant power spectra would provide a useful method for evaluating the elasticity of deeply-situated microscopic pathological lesions, such as stage 0 or 1 mammary gland cancer, which is difficult by conventional ultrasound elastography.
由于生物组织的弹性与其病理状态有关,因此在医学领域中,人们一直希望开发出允许对弹性进行非侵入性测量的新方法。我们提出了一种从光声信号的时间波形来描述埋置物体弹性的方法。随着物体杨氏模量的增加,通过对波形进行傅里叶变换得到的功率谱重心所对应的频率也会增加。在我们的实验配置中,通过频率可以确定埋置物体的弹性,最高可达约 1 MPa 的杨氏模量。这些结果表明,通过对光声信号的时间波形进行测量以及对所得功率谱进行分析,可以提供一种有用的方法来评估传统超声弹性成像难以检测的深层微观病变(如 0 期或 1 期乳腺癌)的弹性。