In this paper, we exploited the fast-imaging technology for the deep structure of finger based on photoacoustic imaging, which adopted the self-designed 128-ring-array fast photoacoustic imaging system to acquire the latent inside information of finger. The home-made photoacoustic imaging system has the merits of fast imaging, high resolution and deep imaging depth. Specifically, our system could obtain a cross section scan of finger within 0.05 or 0.1s, achieve the resolution of approach 180μm and image the latent inside information of finger as well as extend the imaging depth over 5 cm in chicken breast tissue at the laser density of 20 mJ/cm2 (≤ANSI safety limit). In this work, we obtained the finger anatomical information of skin tissue, blood vessel tissue, and the information of tendon tissue and phalanx tissue which is relatively difficult to obtain by means of photoacoustic imaging. So, we will be able to restore an overall internal structure of a finger including its external shape its internal tendon structure and its internal phalanx structure or containing its blood vessel structure. And that more information from different angles can make its identification more accurate. It is prospective that the deep structure of finger we get by our fast photoacoustic imaging technology will help to provide more possibilities for finger identification and lead to more credible technology for human about relevant information collection and resolution.
Scleroderma (SD) is a rare autoimmune disease, which is divided into two categories: the localized SD and systemic SD. The localized SD mainly causes skin thickening of the fingers, whereas the systemic SD can further affect the blood vessels and internal organs. In this pilot study, the multispectral photoacoustic elastic tomography (PAET) imaging technique was used to recover quantitative physiological and elastic parameters of biological tissues for the diagnosis of SD. Three healthy subjects and three scleroderma patients were recruited and clinically examined by a rheumatologist, and then their hand /fingers were scanned by the both the commercial MRI and our home-made photoacoustic imaging system. Physiological parameters including oxygen saturation (STO2), deoxy-hemoglobin (Hb) and oxy-hemoglobin (HbO2) concentrations and mechanical properties such as bulk modulus images were reconstructed by using the developed PAET reconstruction method. Our imaging results demonstrated that the physiological and elastic parameters exhibit striking differences between the SD and healthy fingers, indicating that these indicators can serve as molecular signatures for the early detection of SD. These quantitative physiological properties and bulk modulus may also pave a new path for improved understanding the pathological mechanism of SD.
KEYWORDS: In vitro testing, Chromophores, Tissues, Acquisition tracking and pointing, Acoustics, Photoacoustic spectroscopy, Photoacoustic tomography, Tomography, Computer simulations, Chemical elements
The goal of this work was to develop and validate a spectrally resolved photoacoustic imaging method, namely multi-spectral photoacoustic elasticity tomography (PAET) for quantifying the physiological parameters and elastic modulus of biological tissues. We theoretically and experimentally examined the PAET imaging method using simulations and in vitro experimental tests. Our simulation and in vitro experimental results indicated that the reconstructions were quantitatively accurate in terms of sizes, the physiological and elastic properties of the targets.
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