Yoon Heechul, Luke Geoffrey P, Emelianov Stanislav Y
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, United States.
Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, United States.
Photoacoustics. 2018 Oct 9;12:46-54. doi: 10.1016/j.pacs.2018.10.001. eCollection 2018 Dec.
An optical wavelength selection method based on the stability of the absorption cross-section matrix to improve spectroscopic photoacoustic (sPA) imaging was recently introduced. However, spatially-varying chromophore concentrations cause the wavelength- and depth-dependent variations of the optical fluence, which degrades the accuracy of quantitative sPA imaging. This study introduces a depth-optimized method that determines an optimal wavelength set minimizing an inverse of the multiplication of absorption cross-section matrix and fluence matrix to minimize the errors in concentration estimation. This method assumes that the optical fluence distribution is known or can be attained otherwise. We used a Monte Carlo simulation of light propagation in tissue with various depths and concentrations of deoxy-/oxy-hemoglobin. We quantitatively compared the developed and current approaches, indicating that the choice of wavelength is critical and our approach is effective especially when quantifying deeper imaging targets.
最近提出了一种基于吸收截面矩阵稳定性的光波长选择方法，以改进光谱光声（sPA）成像。然而，发色团浓度的空间变化会导致光通量随波长和深度的变化，从而降低定量sPA成像的准确性。本研究引入了一种深度优化方法，该方法通过确定一个最优波长集，使吸收截面矩阵与光通量矩阵乘积的倒数最小，以最小化浓度估计中的误差。该方法假设光通量分布是已知的，或者可以通过其他方式获得。我们对不同深度和脱氧/氧合血红蛋白浓度的组织进行了光传播的蒙特卡罗模拟。我们对所开发的方法和当前方法进行了定量比较，结果表明波长的选择至关重要，我们的方法在对更深层成像目标进行定量时尤其有效。
