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A helical cone beam filtered backprojection (CB-FBP) reconstruction algorithm using three-dimensional (3D) view weighting

机译:使用三维(3D)视图权重的螺旋锥束滤波反投影(CB-FBP)重建算法

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Although they are approximate only from the theoretical point of view, the FDK cone beam filtered backprojection (CB-FBP) reconstruction algorithm for a circular source trajectory and the general CB-FBP algorithm for other source trajectories, including a helix, have been utilized for decades in extensive applications. A common feature of these two algorithms is that the filtering operation is carried out along each horizontal detector row. Although the horizontal filtering works well for small cone angles, it has been shown that, in applications where a helical source trajectory is employed, the filtering step needs to be carried out along a direction tangential to the source helix to improve reconstruction accuracy. Furthermore, view weighting techniques have to be applied in helical CB-FBP algorithm to suppress streak artifacts caused by data inconsistency. Usually, the view weighting techniques are directly borrowed from their fan beam counterparts, which work well at relatively low helical pitch, but fail at high helical pitches. In this paper, we propose a new helical CB-FBP reconstruction algorithm. The filtering in the proposed algorithm is naturally carried out along the tangential direction of the helical source trajectory after a row-wise fan-to-parallel rebinning. A 3D weighting function (which is dependent on view angle β, ray distance t from the ISO, and cone angle α), is utilized to: (a) suppress artifact caused by data inconsistency; (b) improve noise characteristics by using redundant projection data; (c) extend filed of view (FOV) at high pitches by maintaining data redundancy. Both computer simulations and real phantom scans are used to evaluate the proposed helical CB-FBP algorithm. Experimental evaluation verifies that the proposed algorithm produces excellent results from the perspective of reconstruction accuracy, noise characteristics, large FOV at high pitches, and temporal resolution.
机译:尽管它们只是从理论上近似的,但已将FDK锥形束滤波反投影(CB-FBP)重建算法用于圆形源轨迹和将常规CB-FBP算法用于其他源轨迹(包括螺旋线)用于数十年的广泛应用。这两种算法的共同特点是,沿着每个水平检测器行执行滤波操作。尽管水平滤波对于较小的锥角效果很好,但是已经表明,在采用螺旋形源轨迹的应用中,需要沿着与源螺旋相切的方向执行滤波步骤以提高重建精度。此外,必须在螺旋CB-FBP算法中应用视图加权技术,以抑制由数据不一致引起的条纹伪影。通常,视图权重技术是直接从它们的扇形波束对应对象中借用的,它们在相对较低的螺距下效果很好,但在较高的螺距下效果不佳。在本文中,我们提出了一种新的螺旋CB-FBP重建算法。提出的算法中的滤波自然是在按行扇形到平行重新组合之后,沿着螺旋源轨迹的切线方向进行的。 3D加权函数(取决于视角β,距ISO的光线距离t和锥角α)用于:(a)抑制由数据不一致引起的伪像; (b)通过使用冗余投影数据来改善噪声特性; (c)通过保持数据冗余来大幅度扩展视场(FOV)。计算机仿真和真实幻像扫描都用于评估所提出的螺旋CB-FBP算法。实验评估证明,从重构精度,噪声特性,高音高FOV和时间分辨率的角度来看,该算法产生了出色的结果。

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