Demultiplexing of Projection Data in Adaptive Brain SPECT with Multi-Pinhole Collimation

N. Zeraatkar, Kesava S. Kalluri, Benjamin Auer, Neil C. Momsen, Micaehla May, R. Garrett Richards, L. Furenlid, P. Kuo, Matt A. King
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引用次数: 2

Abstract

Multiplexing of projection images is a potential solution to increasing detection sensitivity in multi-pinhole (MPH) SPECT systems. However, the ambiguity caused by overlapped projections can generate artefacts in the reconstructed images. Therefore, multiplexing has been generally avoided in MPH SPECT systems at the cost of sensitivity loss. We are developing a new-generation brain-dedicated stationary SPECT scanner, AdaptiSPECT-C. In this study, we employed a prototype design of the AdaptiSPECT-C consisting of 25 square detectors arranged in a truncated spherical geometry. Each detector is equipped with an MPH collimator having 5 pinhole apertures. Each aperture can be independently opened or closed utilizing a shuttering mechanism. There is intentionally a significant amount of multiplexing when multiple apertures are opened. In this study, we propose an innovative approach to demultiplex projection data from multiple pinholes in the AdaptiSPECT-C. We used our MPH analytic simulation and iterative reconstruction software to investigate two acquisition schemes for an XCAT phantom emulating N-isopropyl-p-(I -123)iodoamphetamine (I-123-IMP) brain-perfusion agent distribution. In this approach, a small portion of imaging time (herein, 20%) is used for acquiring a set of non-multiplexed data by opening only central pinholes in each MPH collimator. The proposed algorithm can then demultiplex the projections acquired thereafter using an estimate of the activity distribution reconstructed from the non-multiplexed data. The results are promising for demultiplexing the projections when compared with simulated non-multiplexed ground truth. We expect this demultiplexing will result in substantial enhancement of the reconstructed images. This and variations in the acquisition schemes will be explored in our future studies.
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基于多针孔准直的自适应脑SPECT投影数据解复用
投影图像的多路复用是提高多针孔SPECT系统检测灵敏度的一种潜在解决方案。然而,重叠投影所产生的模糊性会在重建图像中产生伪影。因此,以灵敏度损失为代价,在MPH SPECT系统中通常避免多路复用。我们正在开发新一代脑专用固定SPECT扫描仪AdaptiSPECT-C。在本研究中,我们采用了AdaptiSPECT-C的原型设计,该原型设计由25个正方形探测器组成,排列在截断的球形几何结构中。每个探测器都配备了一个MPH准直器,具有5个针孔孔径。每个光圈可以独立地打开或关闭利用快门机构。当打开多个光圈时,有意地有大量的多路复用。在这项研究中,我们提出了一种创新的方法来从AdaptiSPECT-C的多个针孔中解复用投影数据。我们使用我们的MPH分析模拟和迭代重建软件研究了模拟n-异丙基-p-(I -123)碘安非他明(I-123- imp)脑灌注剂分布的XCAT模型的两种获取方案。在这种方法中,通过在每个MPH准直器中只打开中心针孔,将一小部分成像时间(这里为20%)用于获取一组非复用数据。然后,该算法可以使用从非复用数据重构的活动分布估计来解复用此后获得的投影。与模拟的非复用地真值进行比较,结果表明该方法具有较好的解复用效果。我们期望这种解复用将导致重建图像的显著增强。我们将在未来的研究中探讨这一点以及收购计划的变化。
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