Nakagami statistics-based photoacoustic spectroscopy used for label-free assessment of bone tissue
Ting Feng, Yihan Zhu, Xiaoxiang Gao, Weiya Xie, Haigang Ma, Liming Cheng, Dean Ta, Qian Chen
Abstract
Quick identification of abnormal molecular metabolism of bone tissues is challenging. Photoacoustic (PA) spectroscopy techniques have great potential in molecular imaging. However, most of them are amplitude-dependent and easily affected by the light deposition, especially for bone tissues with high optical scattering. In this Letter, we propose a Nakagami statistics-based PA spectroscopy (NSPS) method for characterizing molecules in bone tissues. We indicate that the NSPS curve can intelligently identify changes in the content of molecules in bone tissues, with a high disturbance-resisting ability. The NSPS has remarkable potential for use in the early and rapid detection of bone diseases.