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Elastic Motion Correction For Continuous Bed Motion Whole-body PET/CT

机译:弹性运动校正为连续床上运动全身PET / CT

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The Continuous Bed Motion (CBM) acquisition mode in PET imaging, recently introduced commercially by Siemens and marketed as FlowMotion, has the potential advantages compared to the conventional step and shoot (S&S) mode. With CBM, the image quality at different axial regions of interest can be adjusted based on clinical need by using variable bed speed acquisitions. This flexibility cannot be accommodated by S&S mode since discrete bed positions are acquired. The respiratory motion in wholebody PET studies degrades image quality, introduces bias and partial volume artifacts, which are critical considerations for obtaining quantitative imaging with high resolution scanners. Elastic motion correction is needed to correct for respiratory motion artifacts. Elastic Motion DeBlurring (EMDB) was previously introduced by the authors. It was shown that it does not depend on the number of gates. Instead, a Mass Preservation Optical Flow (MPOF) algorithm was used to calculate a blurring kernel between the reference gate and the static (motion blurred) image. This approach reduces the processing time and hardware requirements for an iterative EMC reconstruction. In this work, EMDB is applied to CBM PET studies acquired with variable bed speed.
机译:宠物成像中的连续床动作(CBM)采集模式,最近由西门子商业推出并作为流量销售,与传统步骤和拍摄(S&S)模式相比具有潜在的优势。利用CBM,可以根据使用可变床速采集基于临床需求来调整不同轴向区域的图像质量。由于获取离散床位置,因此S&S模式不能容纳这种灵活性。在wholebody PET研究降低图像质量,引入了偏差和部分体积伪影,这是用于获得具有高分辨率扫描仪定量成像关键的考虑因素的呼吸运动。需要弹性运动校正来校正呼吸运动伪影。先前由作者引入Elastic Motion DeBlurring(EMDB)。结果表明它不依赖于门的数量。相反,使用质量保存光学流量(MPOF)算法来计算参考栅极和静态(运动模糊)图像之间的模糊内核。该方法减少了迭代EMC重建的处理时间和硬件要求。在这项工作中,EMDB应用于以可变床速获得的CBM PET研究。

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