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正电子发射断层扫描(PET)中图像重建的演进:从滤波反投影到人工智能。

The Evolution of Image Reconstruction in PET: From Filtered Back-Projection to Artificial Intelligence.

机构信息

Department of Radiology, Center for Advanced Medical Computing and Analysis, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Department of Radiology, Center for Advanced Medical Computing and Analysis, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

PET Clin. 2021 Oct;16(4):533-542. doi: 10.1016/j.cpet.2021.06.004.

DOI:10.1016/j.cpet.2021.06.004
PMID:34537129
Abstract

PET can provide functional images revealing physiologic processes in vivo. Although PET has many applications, there are still some limitations that compromise its precision: the absorption of photons in the body causes signal attenuation; the dead-time limit of system components leads to the loss of the count rate; the scattered and random events received by the detector introduce additional noise; the characteristics of the detector limit the spatial resolution; and the low signal-to-noise ratio caused by the scan-time limit (eg, dynamic scans) and dose concern. The early PET reconstruction methods are analytical approaches based on an idealized mathematical model.

摘要

正电子发射断层扫描(PET)可以提供功能图像,揭示体内的生理过程。尽管 PET 有许多应用,但仍存在一些限制其精度的因素:光子在体内的吸收会导致信号衰减;系统组件的死时间限制导致计数率损失;探测器接收到的散射和随机事件会引入额外的噪声;探测器的特性限制了空间分辨率;以及扫描时间限制(例如动态扫描)和剂量引起的低信噪比。早期的 PET 重建方法是基于理想化数学模型的解析方法。

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