Tyndall National Institute, Ireland.
Lund Univ., Sweden.
J Biomed Opt. 2018 Apr;23(7):1-8. doi: 10.1117/1.JBO.23.7.071209.
Biological tissue is a highly scattering medium that prevents deep imaging of light. For medical applications, optical imaging offers a molecular sensitivity that would be beneficial for diagnosing and monitoring of diseases. Acousto-optical tomography has the molecular sensitivity of optical imaging with the resolution of ultrasound and has the potential for deep tissue imaging. Here, we present a theoretical study of a system that combines acousto-optical tomography and slow light spectral filters created using spectral hole burning methods. Using Monte Carlo simulations, a model to obtain the contrast-to-noise ratio (CNR) deep in biological tissue was developed. The simulations show a CNR > 1 for imaging depths of ∼5 cm in a reflection mode setup, as well as, imaging through ∼12 cm in transmission mode setups. These results are promising and form the basis for future experimental studies.
生物组织是一种高度散射的介质,会妨碍光线的深层成像。对于医学应用,光学成像是一种具有分子灵敏度的技术,这对于疾病的诊断和监测将非常有益。声光层析成像具有光学成像的分子灵敏度和超声的分辨率,具有深层组织成像的潜力。在这里,我们提出了一种将声光层析成像与使用光谱烧孔方法创建的慢光光谱滤波器相结合的系统的理论研究。使用蒙特卡罗模拟,开发了一种用于在生物组织深处获得对比噪声比 (CNR) 的模型。模拟结果表明,在反射模式设置下,在约 5 cm 的成像深度下可以获得 CNR > 1,在透射模式设置下,在约 12 cm 的成像深度下也可以获得 CNR > 1。这些结果很有前途,为未来的实验研究奠定了基础。