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利用晶体间散射事件实现AX-PET原型的灵敏度恢复。

Sensitivity recovery for the AX-PET prototype using inter-crystal scattering events.

作者信息

Gillam John E, Solevi Paola, Oliver Josep F, Casella Chiara, Heller Matthieu, Joram Christian, Rafecas Magdalena

机构信息

IFIC (CSIC-Universitat de València), Valencia, Spain.

出版信息

Phys Med Biol. 2014 Aug 7;59(15):4065-83. doi: 10.1088/0031-9155/59/15/4065. Epub 2014 Jul 3.

Abstract

The development of novel detection devices and systems such as the AX-positron emission tomography (PET) demonstrator often introduce or increase the measurement of atypical coincidence events such as inter-crystal scattering (ICS). In more standard systems, ICS events often go undetected and the small measured fraction may be ignored. As the measured quantity of such events in the data increases, so too does the importance of considering them during image reconstruction. Generally, treatment of ICS events will attempt to determine which of the possible candidate lines of response (LoRs) correctly determine the annihilation photon trajectory. However, methods of assessment often have low success rates or are computationally demanding. In this investigation alternative approaches are considered. Experimental data was taken using the AX-PET prototype and a NEMA phantom. Three methods of ICS treatment were assessed--each of which considered all possible candidate LoRs during image reconstruction. Maximum likelihood expectation maximization was used in conjunction with both standard (line-like) and novel (V-like in this investigation) detection responses modeled within the system matrix. The investigation assumed that no information other than interaction locations was available to distinguish between candidates, yet the methods assessed all provided means by which such information could be included. In all cases it was shown that the signal to noise ratio is increased using ICS events. However, only one method, which used full modeling of the ICS response in the system matrix--the V-like model--provided enhancement in all figures of merit assessed in this investigation. Finally, the optimal method of ICS incorporation was demonstrated using data from two small animals measured using the AX-PET demonstrator.

摘要

新型检测设备和系统的开发,如AX正电子发射断层扫描(PET)演示器,常常会引入或增加对非典型符合事件的测量,比如晶体间散射(ICS)。在更标准的系统中,ICS事件常常未被检测到,且所测量的小部分可能会被忽略。随着数据中此类事件测量量的增加,在图像重建过程中考虑它们的重要性也随之增加。一般来说,对ICS事件的处理会试图确定哪些可能的候选响应线(LoR)能正确确定湮灭光子轨迹。然而,评估方法的成功率往往较低,或者计算量很大。在本研究中考虑了其他方法。使用AX - PET原型和NEMA体模获取了实验数据。评估了三种ICS处理方法——每种方法在图像重建过程中都考虑了所有可能的候选LoR。在系统矩阵中建模的标准(线状)和新型(本研究中的V状)检测响应与最大似然期望最大化相结合。该研究假设除了相互作用位置外没有其他信息可用于区分候选者,但所评估的方法都提供了纳入此类信息的手段。在所有情况下都表明,使用ICS事件可提高信噪比。然而,只有一种方法,即在系统矩阵中对ICS响应进行全建模的V状模型,在本研究评估的所有品质因数中都提供了增强效果。最后,使用AX - PET演示器测量的两只小动物的数据展示了纳入ICS的最佳方法。

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