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Influence of the light propagation models on a linearized photoacoustic image reconstruction of the light absorption coefficient

机译:光传播模型对光吸收系数线性化光声图像重建的影响

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Quantification of the optical properties of the tissues and blood by noninvasive photoacoustic (PA) imaging may provide useful information for screening and early diagnosis of diseases. Linearized 2D image reconstruction algorithm based on PA wave equation and the photon diffusion equation (PDE) can reconstruct the image with computational cost smaller than a method based on 3D radiative transfer equation. However, the reconstructed image is affected by the differences between the actual and assumed light propagations. A quantitative capability of a linearized 2D image reconstruction was investigated and discussed by the numerical simulations and the phantom experiment in this study. The numerical simulations with the 3D Monte Carlo (MC) simulation and the 2D finite element calculation of the PDE were carried out. The phantom experiment was also conducted. In the phantom experiment, the PA pressures were acquired by a probe which had an optical fiber for illumination and the ring shaped P(VDF-TrFE) ultrasound transducer. The measured object was made of Intralipid and Indocyanine green. In the numerical simulations, it was shown that the linearized image reconstruction method recovered the absorption coefficients with alleviating the dependency of the PA amplitude on the depth of the photon absorber. The linearized image reconstruction method worked effectively under the light propagation calculated by 3D MC simulation, although some errors occurred. The phantom experiments validated the result of the numerical simulations.
机译:通过非侵入性光声(PA)成像对组织和血液的光学特性进行量化可能为疾病的筛查和早期诊断提供有用的信息。与基于3D辐射传递方程的方法相比,基于PA波方程和光子扩散方程(PDE)的线性化2D图像重建算法可以以较少的计算量重建图像。但是,重建图像会受到实际光传播与假定光传播之间差异的影响。通过数值模拟和幻影实验研究了线性化二维图像重建的定量能力。进行了PDE的3D蒙特卡罗(MC)模拟和2D有限元计算的数值模拟。还进行了幻影实验。在幻像实验中,PA压力是通过具有用于照明的光纤和环形P(VDF-TrFE)超声换能器的探头获得的。被测物由Intralipid和Indocyanine绿制成。在数值模拟中,表明线性化图像重建方法恢复了吸收系数,同时减轻了PA振幅对光子吸收层深度的依赖性。尽管发生了一些错误,但线性化图像重建方法在通过3D MC仿真计算的光传播下有效地起作用。体模实验验证了数值模拟的结果。

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