制作独立虚线重建二维光源分布,具有等同于有限投影的高空间分辨率

Liu Huawei, Lv Wei, Zhou Huaichun
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引用次数: 1

摘要

为了提高有限投影病态定常问题的断层成像重建质量,本文提出了一种与实测视线一致但不线性依赖的虚拟视线的构造方法。采用边长为瞄准线宽度两倍的等边三角形平面网格格式,根据源项分布的空间连续性,采用插值方法构造了若干独立的虚拟瞄准线。采用非负线性最小二乘法求解重构问题。当虚线插补次数接近一个临界值时(本文为6次),正演问题的矩阵条件数明显下降,表明独立插补方法可以有效地克服问题的“病态性”。因此,如果对虚线的插值次数小于临界值,则无法重建假设的源分布形状;当插值次数大于临界值时,可以直观地恢复假设源分布的形状。通过对虚拟线进行10次插值,4个峰值附近的相对误差大多在10%以下,从而合理地验证了该插值方法的有效性。此外,该重建方法具有良好的抗噪性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fabrication of independent virtual lines for reconstruction of 2D source distribution with high spatial resolution equal to that of limited projections
In order to improve the quality of tomography reconstruction for ill-posed problems with limited projections, a new idea of fabricating virtual lines of sight which are consistent with, but not lineally dependent on, the measured lines of sight is proposed in this paper. Using a scheme of equilateral triangle plane meshes whose edge length equals twice the width of the lines of sight, based on the spatial continuity of the source term distribution, some independent virtual lines of sight are fabricated by an interpolation method described in this paper. Non-negative linear least squares method is used to solve the reconstruction problem. As the times of interpolation for virtual lines approach a critical level (it is 6 for the case in this paper) the condition number of the matrix of the forward problem drops obviously, indicating that the independent interpolation method may effectively overcome the `ill-posed-ness' of the problem. Accordingly, if the times of interpolation for virtual lines are less than the critical level, the shape of the assumed source distribution, obviously could not be reconstructed; as the times of interpolation become larger than the critical level, the shape of the assumed source distribution has been recovered visually. With 10 times of interpolation for virtual lines, most of the relative errors near the four peaks are below 10 %, thus the effectiveness of the interpolation method is reasonably verified. In addition, the reconstruction method has good noise immunity.
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