Nykänen Olli, Pulkkinen Aki, Tarvainen Tanja
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland.
Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK.
Biomed Opt Express. 2017 Sep 8;8(10):4380-4395. doi: 10.1364/BOE.8.004380. eCollection 2017 Oct 1.
Quantitative photoacoustic tomography is an imaging modality in which distributions of optical parameters inside tissue are estimated from photoacoustic images. This optical parameter estimation is an ill-posed problem and it needs to be approached in the framework of inverse problems. In this work, utilising surface light measurements in quantitative photoacoustic tomography is studied. Estimation of absorption and scattering is formulated as a minimisation problem utilising both internal quantitative photoacoustic data and surface light data. The image reconstruction problem is studied with two-dimensional numerical simulations in various imaging situations using the diffusion approximation as the model for light propagation. The results show that quantitative photoacoustic tomography augmented with surface light data can improve both absorption and scattering estimates when compared to the conventional quantitative photoacoustic tomography.
定量光声层析成像(Quantitative photoacoustic tomography)是一种成像模式,其中组织内部光学参数的分布是从光声图像中估计出来的。这种光学参数估计是一个不适定问题,需要在反问题的框架下进行处理。在这项工作中,研究了在定量光声层析成像中利用表面光测量的方法。吸收和散射的估计被表述为一个最小化问题,同时利用内部定量光声数据和表面光数据。使用扩散近似作为光传播模型,通过二维数值模拟在各种成像情况下研究了图像重建问题。结果表明,与传统的定量光声层析成像相比,增加了表面光数据的定量光声层析成像可以改善吸收和散射估计。