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Quantitative performance of iterative algorithms, with and without PSF and TOF, in the conditions of a dynamic cardiac 13N-ammonia study

机译:在动态心脏13n-氨研究的条件下,迭代算法的定量性能,随着PSF和TOF,在动态心脏13N-氨研究的条件下

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摘要

Iterative reconstruction algorithm are the standard reconstruction for clinical imaging. For quantification purposes in kinetic modelling sometimes analytical reconstruction are preferred for their linearity and the absence of bias at the low statistics typical of dynamic studies. Time-Of-Flight (TOF) technology was suggested to be able to improve the efficacy of random coincidences correction, to reduce noise and should be able to reduce bias. Point Spread Function modelling (PSF) can also improve quantification accuracy recovery resolution degrading effects.
机译:迭代重建算法是临床成像的标准重建。出于动力学建模中的定量目的,有时分析重建是它们的线性性和在动态研究的低统计学中没有偏差。建议飞行时间(TOF)技术能够提高随机重合校正的功效,以减少噪音,应该能够减少偏见。点传播功能建模(PSF)还可以提高定量精度恢复分辨率劣化效果。

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