伽玛相机的实时数据采集与最大似然估计。

IEEE NPSS Real Time Conference : conference record. Conference on Real-Time Computer Applications in Nuclear, Particle, and Plasma Physics Pub Date : 2005-06-01 DOI:10.1109/RTC.2005.1547506

L R Furenlid, J Y Hesterman, H H Barrett

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引用次数: 24

摘要

我们开发了用于生物医学成像的模块化伽马射线相机，该相机采用原始列表模式采集架构获取数据。所有与伽马射线事件相关的观测，如光电倍增管(PMT)信号和时间，都被组装成一个事件包，并添加到包含所获取数据的事件条目的有序列表中。在这项工作中，我们提出了数据采集系统的设计，并讨论了一个专门的计算引擎的算法，该计算引擎驻留在每个相机的前后端之间的数据路径上，并在获取数据时实时进行最大似然位置和能量估计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real-time Data Acquisition and Maximum-Likelihood Estimation for Gamma Cameras.

We have developed modular gamma-ray cameras for biomedical imaging that acquire data with a raw list-mode acquisition architecture. All observations associated with a gamma-ray event, such as photomultiplier (PMT) signals and time, are assembled into an event packet and added to an ordered list of event entries that comprise the acquired data. In this work we present the design of the data-acquisition system, and discuss algorithms for a specialized computing engine to reside in the data path between the front and back ends of each camera and carry out maximum-likelihood position and energy estimations in real time while data was being acquired..

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IEEE NPSS Real Time Conference : conference record. Conference on Real-Time Computer Applications in Nuclear, Particle, and Plasma Physics

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