11 March 2015 Influence of the light propagation models on a linearized photoacoustic image reconstruction of the light absorption coefficient
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Abstract
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.
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Shinpei Okawa, Takeshi Hirasawa, Toshihiro Kushibiki, Miya Ishihara, "Influence of the light propagation models on a linearized photoacoustic image reconstruction of the light absorption coefficient", Proc. SPIE 9323, Photons Plus Ultrasound: Imaging and Sensing 2015, 93231X (11 March 2015); doi: 10.1117/12.2080761; https://doi.org/10.1117/12.2080761
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