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Fast Single Scan Derivation of the PSF Resolution Model on the TruePoint PET/CT using a Printed Point Source Array

机译:使用印刷点源阵列快速单扫描PSF分辨率模型的PSF分辨率模型

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Incorporation of the resolution modelling component of the scanner during statistical image reconstruction often produces images of improved signal-to-noise ratio (SNR). In our previous work we measured and parameterized the Hi-Rez PET/CT scanner's point spread function (PSF) in image space using printed point source arrays at multiple positions. Here we extend the work to the TruePoint PET/CT and specifically report on i) optimizing the PSF model ii) demonstrating that a simple, single scan of a printed point source array is sufficient to accurately characterize the resolution blurring properties of the TruePoint PET/CT iii) evaluating and validating an image based resolution modelled reconstruction algorithm incorporating the measured scanner response against the scanner's projection based resolution modelled reconstruction algorithm on phantom data. A single array of 126 (14×9) point sources was scanned at different axial and azimuthal positions to measure the symmetric properties of the PSF model in image space. Results show that the blurring is more pronounced in the axial direction due to the spatial resolution losses incurred by the large span (span 11) used during binning of the raw data. As expected, the 3D resolution kernel varies in the axial, radial and tangential directions, but it is importantly shown that these variations can be captured and factorized into separate radial and axial dependencies. With this parameterization for the PSF, a single scan of the array can characterize the image-based PSF without compromising the accuracy of the measured model. This provides a fast, efficient and practical means of measuring the unique resolution modelling component of the system matrix on a scanner-by-scanner basis. For scanners also having the option of a PSF reconstruction, this fast and practical procedure can be used to rapidly check and if necessary correct any drift in the blurring properties of the scanner on a routine basis.
机译:在统计图像重建期间掺入扫描仪的分辨率建模分量通常产生改进的信噪比(SNR)的图像。在我们以前的工作中,我们使用多个位置的印刷点源阵列测量和参数化了Hi-Rez PET / CT扫描仪的点扩展功能(PSF)。在这里,我们将工作扩展到TruePoint PET / CT和专门报告I)优化PSF模型II)演示了一种简单的单扫描的印刷点源阵列足以准确地表征TRUOPOINT PET的分辨率模糊属性/ CT III)评估和验证基于图像的分辨率建模重构重建算法,其利用测量的扫描仪的基于扫描仪的分辨率建模重建算法进行了扫描仪数据。在不同的轴向和方位角扫描单个126(14×9)点源的单个阵列,以测量图像空间中PSF模型的对称性。结果表明,由于在原始数据的衬砌期间使用的大跨度(跨度11)产生的空间分辨率损耗,模糊在轴向上更加明显。如所预期的,3D分辨率内核在轴向,径向和切向方向上变化,但是重要的是表明可以捕获这些变化并将其分解成单独的径向和轴向依赖性。利用PSF的此参数化,阵列的单次扫描可以表征基于图像的PSF,而不会影响测量模型的准确性。这提供了一种快速,有效和实用的方法,可以在扫描仪的基础上测量系统矩阵的独特分辨率建模组件。对于扫描仪还具有PSF重建的选择,可以使用这种快速实用的程序来快速检查,并在必要时校正扫描仪的模糊性质的偏移。

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