有和没有PSF和TOF的迭代算法在动态心脏13n -氨研究条件下的定量性能

L. Presotto, E. De Bernardi, L. Gianolli, M. Gilardi, V. Bettinardi
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引用次数: 0

摘要

迭代重建算法是临床影像重建的标准算法。在动力学建模的量化目的中,有时分析重建是首选的,因为它们的线性和在动态研究中典型的低统计量中没有偏差。认为飞行时间(TOF)技术能够提高随机巧合校正的有效性,降低噪声,并能减小偏置。点扩展函数建模(PSF)还可以改善量化精度恢复分辨率的退化效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative performance of iterative algorithms, with and without PSF and TOF, in the conditions of a dynamic cardiac 13N-ammonia study
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.
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