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Time of flight PET reconstruction using non-uniform update for regional recovery uniformity

机译:使用非均匀更新实现区域恢复均匀性的飞行时间PET重建

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摘要

Purpose:Time of flight (TOF) PET reconstruction is well known to statistically improve the image quality compared to non-TOF PET. Although TOF PET can improve the overall signal to noise ratio (SNR) of the image compared to non-TOF PET, the SNR disparity between separate regions in the reconstructed image using TOF data becomes higher than that using non-TOF data. Using the conventional ordered subset expectation maximization (OS-EM) method, the SNR in the low activity regions becomes significantly lower than in the high activity regions due to the different photon statistics of TOF bins. A uniform recovery across different SNR regions is preferred if it can yield an overall good image quality within small number of iterations in practice. To allow more uniform recovery of regions, a spatially variant update is necessary for different SNR regions.
机译:目的:众所周知,与非TOF PET相比,飞行时间(TOF)PET重建可从统计学上改善图像质量。尽管与非TOF PET相比,TOF PET可以改善图像的整体信噪比(SNR),但使用TOF数据的重构图像中各个区​​域之间的SNR差异变得比使用非TOF数据的更高。使用传统的有序子集期望最大化(OS-EM)方法,由于TOF仓的光子统计不同,低活动区域中的SNR显着低于高活动区域中的SNR。如果在实践中可以在少量迭代中获得总体良好的图像质量,则最好跨不同SNR区域进行均匀恢复。为了使区域更均匀地恢复,对于不同的SNR区域,必须进行空间上的更新。

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