Joint optimization of collimator and reconstruction parameters in SPECT imaging for lesion quantification.

Joint optimization of collimator and reconstruction parameters in SPECT imaging for lesion quantification.
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DOI:
10.1088/0031-9155/56/21/014
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发表时间:
2011-11-07
影响因子:
3.5
通讯作者:
Moore SC
Moore SC
中科院分区:
工程技术2区
文献类型:
--
作者:
McQuaid SJ;Southekal S;Kijewski MF;Moore SC

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使用重建的 SPECT 图像获得最佳的任务性能需要优化准直器和重建参数。本研究的目的是确定如何执行这种优化,即是否可以仅根据投影数据优化准直器参数,或者是否还应考虑重建参数。为了回答这个问题,并确定最佳准直,生成了代表具有 16 毫米直径热损伤(活动比 8:1)的人体躯干的数字模型,并用于模拟平行孔准直的临床 SPECT 研究。然后在病变量化任务中比较了两种优化 SPECT 系统的方法:顺序优化(使用 Cramer-Rao 界对投影数据进行准直优化)和联合优化(同时优化准直器和重建参数)。对于每种情况,使用 400 个病变活动估计值的均方根误差来评估重建图像的量化性能。与联合优化方法相比,顺序优化方法倾向于使用分辨率较差的准直器,这在某些条件下会导致估计性能次优。这意味着在优化过程中包含重建参数对于获得最佳的任务性能非常重要;在本研究中,这是通过与通用 (LEGP) 准直器类似的准直器分辨率来实现的。发现该准直器优于更常用的高分辨率 (LEHR) 准直器,与使用量化和检测任务的其他基于任务的研究一致。
Obtaining the best possible task performance using reconstructed SPECT images requires optimization of both the collimator and reconstruction parameters. The goal of this study is to determine how to perform this optimization, namely whether the collimator parameters can be optimized solely from projection data, or whether reconstruction parameters should also be considered. In order to answer this question, and to determine the optimal collimation, a digital phantom representing a human torso with 16-mm-diameter hot lesions (activity ratio 8:1) was generated and used to simulate clinical SPECT studies with parallel-hole collimation. Two approaches to optimizing the SPECT system were then compared in a lesion quantification task: sequential-optimization, where collimation was optimized on projection data using the Cramer-Rao bound, and joint-optimization, which simultaneously optimized collimator and reconstruction parameters. For every condition, quantification performance in reconstructed images was evaluated using the root-mean-squared-error of 400 estimates of lesion activity. Compared to the joint-optimization approach, the sequential-optimization approach favoured a poorer resolution collimator, which, under some conditions, resulted in sub-optimal estimation performance. This implies that inclusion of the reconstruction parameters in the optimization procedure is important in obtaining the best possible task performance; in this study, this was achieved with a collimator resolution similar to that of a general-purpose (LEGP) collimator. This collimator was found to outperform the more commonly used high-resolution (LEHR) collimator, in agreement with other task-based studies, using both quantification and detection tasks.
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