基于FPGA的高速在线最大似然定位算法的设计

Xinyi Cheng, Yong Xiao, Yonggang Wang, Deng Li
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引用次数: 1

摘要

提出了一种基于FPGA的最大似然估计器的高速实现方法,作为基于单片闪烁晶体的PET探测器的定位方法。我们建议对所有可能位置的信道使用真实的可能性分布函数,而不是使用信道分布参数重新计算拟合曲线,这大大减少了对计算资源(例如片上DSP)的需求。通过对这些发行版的下级区域进行优化,整个存储需求被削减到不超过以前的四分之一,而与离线实现相比,性能没有损失。简化的硬件结构使得紧凑的流水线结构成为可能,事件处理速率可以达到每秒25M事件,主时钟为200M Hz。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a high speed online maximum likelihood positioning algorithm using FPGA
We present a high speed implementation of maximum-likelihood estimator using FPGA as positioning method for monolithic scintillation crystal based PET detector. Instead of using channel distribution parameters to recalculate the fitting curves, we suggest using real possibility distribution function for channels of all possible positions, which largely reduces the requirement of computation resources (e.g. on-chip DSP). With optimization of subordinate regions of these distributions, the whole storage requirement are trimmed to no more than one-fourth as before without loss of performance compared to an off-line implementation. The simplified hardware structure makes a tight pipelined structure possible that the event processing rate can be 25M events per second with the main clock at 200M Hz.
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