Université de Lorraine, LEMTA, UMR 7563, Vandœuvre-lès-Nancy, F-54500, France. CNRS, LEMTA, UMR 7563, Vandœuvre-lès-Nancy, F-54500, France.
Biomed Phys Eng Express. 2020 May 14;6(4):045010. doi: 10.1088/2057-1976/ab90a0.
We present for the first time the simultaneous reconstruction of three optical parameters distributions of biological tissues namely, the absorption μ and scattering μ coefficients, as well as the anisotropy factor g of the Henyey-Greenstein phase function as a new optical contrast. The 2D images are obtained from the simulation experiments and multi-source quantitative photoacoustic tomography with the radiative transfer equation (RTE) as light transport model. The image reconstruction method is based on a gradient-based optimization scheme. The adjoint method applied to the RTE is used to efficiently compute the gradient of the objective function. The results show simultaneous reconstructions of the three optical properties even with noisy data. The crosstalk problem between the three parameters is highlighted. Superior quality images are obtained for μ compared to those of μ and g. Moreover, our algorithm allows reconstructing inserts-like heterogeneities with very good spatial resolution and qualitative accuracy.
我们首次提出了同时重建生物组织的三种光学参数分布,即吸收系数μ和散射系数μ以及 Henyey-Greenstein 相函数的各向异性因子 g,作为一种新的光学对比度。二维图像是通过模拟实验和多源定量光声层析成像获得的,其中光传输模型为辐射传输方程(RTE)。图像重建方法基于基于梯度的优化方案。将伴随方法应用于 RTE 以有效地计算目标函数的梯度。结果表明,即使在噪声数据的情况下,也可以同时重建这三种光学特性。强调了三个参数之间的串扰问题。与 μ和 g相比,μ的图像质量更好。此外,我们的算法允许以非常高的空间分辨率和定性准确性重建类似插件的异质性。