基于fpga的正电子发射断层成像脉冲参数发现。

Michael Haselman, Scott Hauck, Thomas K Lewellen, Robert S Miyaoka
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引用次数: 15

摘要

现代现场可编程门阵列(fpga)能够执行复杂的数字信号处理算法,时钟速率远高于100MHz。再加上FPGA的低成本和易用性,使其成为正电子发射断层扫描(PET)扫描仪数据采集系统的理想技术。华盛顿大学正在生产一系列高分辨率的小动物PET扫描仪,这些扫描仪利用fpga作为前端电子设备的核心。对于这些下一代扫描仪,通常在专用电路或脱机中执行的功能正在迁移到FPGA上。这不仅可以简化电子器件,而且可以利用现代fpga的特性来增加显著的信号处理能力,以产生更高分辨率的图像。在本文中,我们报告了如何利用FPGA的可重构特性来自校准自身以确定某些脉冲处理步骤所需的脉冲参数。具体来说,我们展示了FPGA如何基于实际脉冲数据而不是模型生成参考脉冲。我们还报告了如何通过FPGA自动确定光电探测器脉冲的其他属性(基线,脉冲长度,平均脉冲能量和事件触发器)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

FPGA-Based Pulse Parameter Discovery for Positron Emission Tomography.

FPGA-Based Pulse Parameter Discovery for Positron Emission Tomography.

FPGA-Based Pulse Parameter Discovery for Positron Emission Tomography.

FPGA-Based Pulse Parameter Discovery for Positron Emission Tomography.

Modern Field Programmable Gate Arrays (FPGAs) are capable of performing complex digital signal processing algorithms with clock rates well above 100MHz. This, combined with FPGA's low expense and ease of use make them an ideal technology for a data acquisition system for a positron emission tomography (PET) scanner. The University of Washington is producing a series of high-resolution, small-animal PET scanners that utilize FPGAs as the core of the front-end electronics. For these next generation scanners, functions that are typically performed in dedicated circuits, or offline, are being migrated to the FPGA. This will not only simplify the electronics, but the features of modern FPGAs can be utilizes to add significant signal processing power to produce higher resolution images. In this paper we report how we utilize the reconfigurable property of an FPGA to self-calibrate itself to determine pulse parameters necessary for some of the pulse processing steps. Specifically, we show how the FPGA can generate a reference pulse based on actual pulse data instead of a model. We also report how other properties of the photodetector pulse (baseline, pulse length, average pulse energy and event triggers) can be determined automatically by the FPGA.

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