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Respiratory Motion Correction in 4D PET/CT: Comparison of Implementation Methodologies for Incorporation of Elastic Transformations in the Reconstruction System Matrix

机译:4D PET / CT中的呼吸运动校正:在重建系统矩阵中纳入弹性变换的实现方法的比较

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Respiratory motion in emission tomography leads to reduced image quality. Proposed correction methodology has been concentrating on the use of respiratory synchronised acquisitions leading to gated frames. Such frames however are of low signal to noise ratio as a result of containing reduced statistics. Therefore a method accounting for respiratory motion effects without affecting the statistical quality of the reconstructed images is necessary. In this work we describe the implementation of an elastic transformation within a list-mode based reconstruction for the correction of respiratory motion over the thorax. The developed algorithm was evaluated using datasets of the NCAT phantom generated at different points throughout the respiratory cycle. List mode data based PET simulated frames were subsequently produced by combining the NCAT datasets with a Monte Carlo simulation. Transformation parameters accounting for respiratory motion were estimated according to an elastic registration of the NCAT dynamic CT images and were subsequently applied during the image reconstruction of the original emission list mode data. The One-pass list mode EM (OPL-EM) algorithm was modified to integrate the elastic transformation in the sensitivity matrix. Three different implementations have been investigated (no interpolation, trilinear interpolation, b-spline functions incorporation). The corrected images were compared with uncorrected respiratory motion average images. Results demonstrate that the use of elastic transformations in the reconstruction system matrix lead to uniform improvement across the lung field for different lesion sizes. The use of a trilinear interpolation or the incorporation of the b-spline functions lead to times of execution equivalent to standard image reconstruction. However, trilinear interpolation leads to artefacts in areas such as the diaphragm where the largest elastic deformations are occurring.
机译:放射断层扫描中的呼吸运动会导致图像质量下降。提出的校正方法一直集中在使用呼吸同步采集导致门控帧。然而,由于包含减少的统计量,因此这些帧具有低信噪比。因此,需要一种在不影响重建图像的统计质量的情况下解决呼吸运动影响的方法。在这项工作中,我们描述了基于列表模式的重构中弹性变换的实现,用于校正胸部的呼吸运动。使用在整个呼吸周期中不同点生成的NCAT体模数据集对开发的算法进行了评估。随后通过将NCAT数据集与蒙特卡洛模拟相结合来生成基于列表模式数据的PET模拟帧。根据NCAT动态CT图像的弹性配准估计占呼吸运动的变换参数,然后将其应用到原始排放列表模式数据的图像重建中。修改了单遍列表模式EM(OPL-EM)算法,以将弹性变换集成到灵敏度矩阵中。研究了三种不同的实现方式(无插值,三线性插值,b样条函数合并)。将校正后的图像与未校正后的呼吸运动平均图像进行比较。结果表明,在重建系统矩阵中使用弹性变换可导致不同病变大小的整个肺野得到均匀的改善。使用三线性插值或合并b样条函数会导致执行时间等同于标准图像重建。但是,三线性插值法会在诸如膜片等发生最大弹性变形的区域产生伪影。

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