Image reconstruction of motion corrected sinograms

K. Thielemans, S. Mustafovic, L. Schnorr
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引用次数: 59

Abstract

We discuss a motion correction scheme for rigid body motion in PET if the movement is known. Several groups have previously proposed a 2 stage process for motion correction: acquiring the data in list-mode and realigning the events according to the known motion before binning them into a sinogram, followed by reconstruction of the sinogram. However, motion correction of the sinogram data can result in parts of the sinogram not being filled for the full duration of the time frame. This results in image artefacts. We suggest ways to remove these artefacts by either reprojecting data or by determining scale factors for the partially measured parts of the sinogram, or a combination of both. We test this on simulations, phantom data and one patient study.
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运动校正正弦图的图像重建
我们讨论了在PET中已知刚体运动的运动校正方案。几个小组先前提出了一个两阶段的运动校正过程:在列表模式下获取数据,根据已知的运动重新调整事件,然后将它们合并成一个sinogram,然后重建sinogram。然而,对正弦图数据的运动校正可能导致部分正弦图在整个时间框架内未被填充。这就产生了图像伪影。我们建议通过重新投影数据或通过确定sinogram部分测量部分的比例因子或两者的组合来去除这些伪影。我们用模拟实验,模拟数据和一个病人研究来测试。
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