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In-plane motion estimation for artifact reduction in fan-beam CT

机译:平面运动估计以减少扇形束CT中的伪影

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摘要

It is well known that a rigid in-plane motion can be decomposed into a translation and a rotation around an origin. Based on our previous work, we first extend the Helgason-Ludwig consistency condition (HLCC) to cover a general rigid motion in fan-beam geometry. Then, we model the general motion by several parameters, and develop a multi-scale iterative scheme for estimation of the in-plane motion parameters. This scheme determines the motion parameters by numerically minimizing an objective function constructed based on the HLCC. After the motion parameters are estimated, image reconstruction can be performed to compensate for the motion effects. Finally, we implement the algorithm in Matlab and C++, and evaluate its performance in numerical simulations.
机译:众所周知,平面内的刚性运动可以分解为绕原点的平移和旋转。在之前的工作基础上,我们首先扩展了Helgason-Ludwig一致性条件(HLCC),以涵盖扇形几何中的一般刚性运动。然后,我们通过几个参数对一般运动进行建模,并开发了一种多尺度迭代方案来估计平面内运动参数。该方案通过在数值上最小化基于HLCC构造的目标函数来确定运动参数。在估计运动参数之后,可以执行图像重建以补偿运动效果。最后,我们在Matlab和C ++中实现该算法,并在数值仿真中评估其性能。

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