Shao Peng, Cox Ben, Zemp Roger J
Department of Electrical and Computer Engineering, University of Alberta, 9107-116 Street, Edmonton, Alberta, Canada, T6G 2V4.
Appl Opt. 2011 Jul 1;50(19):3145-54. doi: 10.1364/AO.50.003145.
While photoacoustic methods offer significant promise for high-resolution optical contrast imaging, quantification has thus far proved challenging. In this paper, a noniterative reconstruction technique for producing quantitative photoacoustic images of both absorption and scattering perturbations is introduced for the case when the optical properties of the turbid background are known and multiple optical illumination locations are used. Through theoretical developments and computational examples, it is demonstrated that multiple-illumination photoacoustic tomography (MI-PAT) can alleviate ill-posedness due to absorption-scattering nonuniqueness and produce quantitative high-resolution reconstructions of optical absorption, scattering, and Gruneisen parameter distributions. While numerical challenges still exist, we show that the linearized MI-PAT framework that we propose has orders of magnitude improved condition number compared with CW diffuse optical tomography.
虽然光声方法在高分辨率光学对比度成像方面具有巨大潜力，但迄今为止，定量分析已证明具有挑战性。本文针对混浊背景光学特性已知且使用多个光学照明位置的情况，引入了一种用于生成吸收和散射扰动的定量光声图像的非迭代重建技术。通过理论推导和计算示例表明，多照明光声层析成像（MI-PAT）可以缓解由于吸收-散射非唯一性引起的不适定性，并生成光学吸收、散射和格鲁涅森参数分布的定量高分辨率重建图像。虽然数值挑战仍然存在，但我们表明，与连续波扩散光学层析成像相比，我们提出的线性化MI-PAT框架的条件数有了几个数量级的改善。
