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Virtual scanner geometry for iterative 3D PET reconstruction adaptable to complex and irregular scanner topologies

机译:虚拟扫描仪几何用于迭代3D宠物重建,适用于复杂和不规则的扫描仪拓扑

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We have developed a new method to transform any kind of 3D PET scanner data to a regular cylinder structure which consists of virtual crystals arranged in regular rings without any gaps. In this way, the 3D projection data can be stored without introducing geometrical mismatches with respect to the assigned projectors of the iterative reconstruction. In addition, the physical crystal sizes of the scanner can be taken into accout during the data conversion procedure. The conversion of all measured Lines-of-Response (LOR) to a virtual, regular cylinder geometry allows to formalise the geometrical transcription while simultaneously minimising the loss of information, e.g. arc corrections can be omitted completely. Finally, the regularity of the converted projection data allows a very fast and accurate implementation of the reconstruction algorithm which is based on a memory-resident compressed system response matrix. The geometrical accuracy of the applied projectors depends only on the user-defined granularity of the virtual geometry which can be adjusted as a compromise between operating expense and precision. The ClearPET Neuro Scanner [2] with its rotating gantry and the crystal double-layer design has been used for a first application of the new universal 3D reconstruction technique. The presented results indicate the high potential of the new conversion method in terms of achieveable contrast-noise ratio and resolution.
机译:我们开发了一种将任何类型的3D PET扫描仪数据转换为常规气缸结构的新方法,该圆柱结构包括以常规环布置的虚拟晶体而没有任何间隙。以这种方式,可以存储3D投影数据而不相对于迭代重建的分配投影仪引入几何不匹配。另外,可以在数据转换过程期间扫描仪的物理晶体尺寸。将所有测量的响应线(LOR)转换为虚拟,常规圆柱几何形状允许将几何转录形式化,同时使信息损失最小化,例如,可以完全省略弧形校正。最后,转换后的投影数据的规律性允许基于存储器驻留压缩系统响应矩阵的重建算法非常快速准确地实现。所应用的投影仪的几何精度仅取决于虚拟几何体的用户定义粒度,这可以在运行费用和精度之间被调整为折衷。具有旋转龙门的透明型Neuro扫描仪[2]已用于新的通用3D重建技术的第一次应用。所提出的结果表明了在可实现的对比噪声比和分辨率方面的新转换方法的高潜力。

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