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基于简化球谐近似的扩散光学层析成像中的图像重建

Image reconstruction in diffuse optical tomography based on simplified spherical harmonics approximation.

作者信息

Chu Michael, Dehghani Hamid

机构信息

School of Physics, University of Exeter, EX4 1EZ, UK.

出版信息

Opt Express. 2009 Dec 21;17(26):24208-23. doi: 10.1364/OE.17.024208.

Abstract

The use of higher order approximations to the Radiative transport equation, through simplified spherical harmonics expansion (SP(N)) in optical tomography are presented. It is shown that, although the anisotropy factor can be modeled in the forward problem, its sensitivity to the measured boundary data is limited to superficial regions and more importantly, due to uniqueness of the inverse problem it cannot be determined using frequency domain data. Image reconstruction through the use of higher ordered models is presented. It is demonstrated that at higher orders (for example SP7) the image reconstruction becomes highly under-determined due to the large increase in the number of unknowns which cannot be adequately recovered. However, reconstruction of diffuse parameters, namely optical absorption and reduced scatter have shown to be more accurate where only the sensitivity matrix used in the inverse problem is based on SP(N) method and image reconstruction is limited to these two diffuse parameters.

摘要

介绍了在光学层析成像中通过简化球谐展开(SP(N))对辐射传输方程进行高阶近似的应用。结果表明,尽管在正向问题中可以对各向异性因子进行建模,但其对测量边界数据的敏感性仅限于表面区域,更重要的是,由于逆问题的唯一性,无法使用频域数据来确定该因子。文中还介绍了通过使用高阶模型进行图像重建的方法。结果表明,在高阶情况下(例如SP7),由于未知量数量大幅增加且无法充分恢复,图像重建变得高度欠定。然而,在仅将逆问题中使用的灵敏度矩阵基于SP(N)方法且图像重建仅限于这两个扩散参数(即光吸收和约化散射)的情况下,扩散参数的重建已显示出更高的准确性。

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