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An investigation of the challenges in reconstructing PET images of a freely moving animal

机译:重建自由活动的动物的PET图像面临的挑战的调查

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摘要

Imaging the brain of a freely moving small animal using positron emission tomography (PET) while simultaneously observing its behaviour is an important goal for neuroscience. While we have successfully demonstrated the use of line-of-response (LOR) rebinning to correct the head motion of confined animals, a large proportion of events may need to be discarded because they either 'miss' the detector array after transformation or fall out of the acceptance range of a sinogram. The proportion of events that would have been measured had motion not occurred, so-called 'lost events', is expected to be even larger for freely moving animals. Moreover, the data acquisition in the case of a freely moving animal is further complicated by a complex attenuation field. The aims of this study were (a) to characterise the severity of the 'lost events' problem for the freely moving animal scenario, and (b) to investigate the relative impact of attenuation correction errors on quantitative accuracy of reconstructed images. A phantom study was performed to simulate the uncorrelated motion of a target and non-target source volume. A small animal PET scanner was used to acquire list-mode data for different sets of phantom positions. The list-mode data were processed using the standard LOR rebinning approach, and multiple frame variants of this designed to reduce discarded events. We found that LOR rebinning caused up to 86 % 'lost events', and artifacts that we attribute to incomplete projections, when applied to a freely moving target. This fraction was reduced by up to 18 % using the variant approaches, resulting in slightly reduced image artifacts. The effect of the non-target compartment on attenuation correction of the target volume was surprisingly small. However, for certain poses where the target and non-target volumes are aligned transaxially in the field-of-view, the attenuation problem becomes more complex and sophisticated correction methods will be required. We conclude that there are limitations with the LOR rebinning approach and simplified attenuation correction for freely moving animals requiring the development and validation of more sophisticated approaches.
机译:使用正电子发射断层扫描(PET)为自由移动的小动物的大脑成像,同时观察其行为,是神经科学的重要目标。尽管我们已经成功地证明了使用响应线(LOR)重组来纠正受限动物的头部运动,但是可能需要丢弃很大一部分事件,因为它们要么在转换后“丢失”了检测器阵列,要么掉落了正弦图的接受范围。对于自由移动的动物,如果没有运动就可以测​​量的事件比例(所谓的“丢失事件”)预计会更大。此外,在自由运动的动物的情况下,数据采集由于复杂的衰减场而变得更加复杂。这项研究的目的是(a)表征自由活动动物场景中“丢失事件”问题的严重性,以及(b)研究衰减校正误差对重建图像定量精度的相对影响。进行了幻像研究以模拟目标体积与非目标体积的不相关运动。使用小型动物PET扫描仪获取不同幻像位置集的列表模式数据。列表模式数据是使用标准的LOR重新绑定方法处理的,其多个帧变体旨在减少丢弃的事件。我们发现,将LOR重新绑定应用于自由移动的目标时,最多会造成86%的“丢失事件”,以及我们归因于不完整投影的伪像。使用变体方法,该比例最多可降低18%,从而导致图像伪影略有减少。非目标隔室对目标体积的衰减校正的影响令人惊讶地小。然而,对于目标和非目标体积在视场中跨轴对齐的某些姿势,衰减问题变得更加复杂,将需要复杂的校正方法。我们的结论是,自由移动的动物的LOR重组方法和简化的衰减校正存在局限性,需要开发和验证更复杂的方法。

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  • 作者单位

    College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan,Faculty of Health Sciences, University of Sydney,Sydney, NSW 2006, Australia,Brain and Mind Research Institute, University of Sydney,Sydney, NSW 2006, Australia;

    Faculty of Health Sciences, University of Sydney,Sydney, NSW 2006, Australia,Brain and Mind Research Institute, University of Sydney,Sydney, NSW 2006, Australia;

    Faculty of Science, Engineering and Health, Central Queensland University, Mackay, QLD 4740, Australia;

    Faculty of Health Sciences, University of Sydney,Sydney, NSW 2006, Australia,Brain and Mind Research Institute, University of Sydney,Sydney, NSW 2006, Australia,Department of Medical Physics, Westmead Hospital,Sydney, NSW 2050, Australia School of Physics, University of Sydney, Sydney,NSW 2006, Australia;

    Faculty of Health Sciences, University of Sydney,Sydney, NSW 2006, Australia,Brain and Mind Research Institute, University of Sydney,Sydney, NSW 2006, Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Positron emission tomography; Image reconstruction; Motion compensation; Reconstruction algorithms;

    机译:正电子发射断层扫描;影像重建;运动补偿;重建算法;

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