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Characterization of small absorbers inside turbid media

机译:混浊介质中小吸收剂的表征

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摘要

We propose a novel noniterative near-infrared diffusive image reconstruction method that uses minimal a priori co-registered ultrasound information. Small absorbing targets embedded in a homogeneous background are described approximately in terms of their monopole, dipole, and quadrupole moments. With an approximate estimation of the center locations of these absorbers from ultrasound images, we show in simulations that the reconstruction accuracy of the absorption coefficient exceeds 80% if the noise level is less than 0.2%. We also demonstrate experimentally that the accuracy can be improved by use of additional ultrasound volume information even for a noise level as high as 1.5%.
机译:我们提出了一种新颖的非迭代近红外扩散图像重建方法,该方法使用最少的先验共注册超声信息。嵌入均质背景的小吸收目标大致按照其单极矩,偶极矩和四极矩来描述。根据超声图像对这些吸收体的中心位置进行近似估计,我们在模拟中显示,如果噪声水平小于0.2%,则吸收系数的重建精度将超过80%。我们还通过实验证明,即使对于高达1.5%的噪声水平,也可以通过使用其他超声体积信息来提高准确性。

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