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通过隔片缩回的多环相机采集的PET数据的归一化和重建。

Normalisation and reconstruction of PET data acquired by a multi-ring camera with septa retracted.

作者信息

Townsend D W, Defrise M, Geissbuhler A, Spinks T J, Bailey D L, Gilardi M C, Jones T

机构信息

MRC Cyclotron Unit, Hammersmith Hospital, London, UK.

出版信息

Med Prog Technol. 1991;17(3-4):223-8.

PMID:1839854
Abstract

Emission scan data acquired by a multi-ring PET camera operated with septa retracted must be corrected for (1) geometrical and detector sensitivity variations between the different lines of response (normalisation), (2) photon attenuation, and (3) mispositioned events due to photon scattering. These corrections must be applied to the full 3-D set of lines of response before reconstruction. The standard normalisation and attenuation correction procedures for 2-D scans increase the statistical noise in the emission scan, a problem which becomes even more serious in 3-D because of the large number of LORs involved (approximately 8 million). This paper will describe a fully 3-D reconstruction algorithm for multi-angle PET data incorporating a practical normalisation and attenuation correction procedure which minimises the increase in emission scan statistical noise. The correction factors are derived from 2-D, septa extended scans. The algorithm is currently used to reconstruct 3-D emission data from an ECAT 953B, a sixteen-ring PET camera with retractable septa.

摘要

由在隔板缩回状态下操作的多环正电子发射断层扫描(PET)相机采集的发射扫描数据必须针对以下方面进行校正:(1)不同响应线之间的几何和探测器灵敏度变化(归一化),(2)光子衰减,以及(3)由于光子散射导致的事件定位错误。这些校正必须在重建之前应用于完整的三维响应线集。二维扫描的标准归一化和衰减校正程序会增加发射扫描中的统计噪声,由于涉及大量的响应线(约800万条),这个问题在三维扫描中变得更加严重。本文将描述一种用于多角度PET数据的全三维重建算法,该算法结合了一种实用的归一化和衰减校正程序,可将发射扫描统计噪声的增加降至最低。校正因子源自二维隔板伸展扫描。该算法目前用于从ECAT 953B重建三维发射数据,ECAT 953B是一台带有可伸缩隔板的十六环PET相机。

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