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首页> 外文期刊>Physics in medicine and biology. >Cone-beam image reconstruction using spherical harmonics.
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Cone-beam image reconstruction using spherical harmonics.

机译:使用球谐函数重建锥束图像。

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Image reconstruction from cone-beam projections is required for both x-ray computed tomography (CT) and single photon emission computed tomography (SPECT). Grangeat's algorithm accurately performs cone-beam reconstruction provided that Tuy's data sufficiency condition is satisfied and projections are complete. The algorithm consists of three stages: (a) Forming weighted plane integrals by calculating the line integrals on the cone-beam detector, and obtaining the first derivative of the plane integrals (3D Radon transform) by taking the derivative of the weighted plane integrals. (b) Rebinning the data and calculating the second derivative with respect to the normal to the plane. (c) Reconstructing the image using the 3D Radon backprojection. A new method for implementing the first stage of Grangeat's algorithm was developed using spherical harmonics. The method assumes that the detector is large enough to image the whole object without truncation. Computer simulations show that if the trajectory of the cone vertex satisfies Tuy's data sufficiency condition, the proposed algorithm provides an exact reconstruction.
机译:X射线计算机断层扫描(CT)和单光子发射计算机断层扫描(SPECT)都需要根据锥束投影重建图像。只要满足Tuy的数据充分条件并完成投影,Grangeat的算法就可以准确地执行锥束重建。该算法包括三个阶段:(a)通过计算锥束检测器上的线积分来形成加权平面积分,并通过获取加权平面积分的导数获得平面积分的一阶导数(3D Radon变换)。 (b)重新绑定数据并计算相对于平面法线的二阶导数。 (c)使用3D Radon反投影重建图像。利用球谐函数开发了一种用于实现Grangeat算法第一阶段的新方法。该方法假定检测器足够大,可以对整个对象进行成像而不会被截断。计算机仿真表明,如果圆锥顶点的轨迹满足Tuy的数据充分条件,则该算法可提供精确的重构。

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