Joint estimation of interaction position and energy deposition in semiconductor SPECT imaging sensors using fully connected neural network.
Joint estimation of interaction position and energy deposition in semiconductor SPECT imaging sensors using fully connected neural network.
复制标题
使用全连接神经网络联合估计半导体 SPECT 成像传感器中的相互作用位置和能量沉积。
DOI：
10.1088/1361-6560/aca740
复制
发表时间：
2023
影响因子：
3.5
通讯作者：
Meng,Ling-Jian
中科院分区：
文献类型：
--
作者：
Yang,Can;Zannoni,ElenaMaria;Meng,Ling-Jian
目的 CdTe 和 CZT 传感器等像素化半导体探测器会因电荷共享效应而导致空间分辨率和光谱性能下降。通过恢复能量沉积和位置估计来增强探测器性能至关重要。方法在这项工作中，我们提出了一种基于全连接神经网络的电荷共享重建算法来校正电荷损失并估计每个多像素电荷共享事件的子像素位置。主要结果通过比较简单的电荷共享相加方法和所提出的能量校正方法产生的光谱，可以观察到明显的能量分辨率改进。我们还证明，使用小针孔准直器和创新的微环准直器获得的投影可以实现亚像素分辨率。意义这些成就对于多示踪剂 SPECT 成像应用以及其他基于半导体探测器的成像模式至关重要。
ObjectivePixelated semiconductor detectors such as CdTe and CZT sensors suffer spatial resolution and spectral performance degradation induced by charge-sharing effects. It is critical to enhance the detector property through recovering the energy-deposition and position estimation.ApproachIn this work, we proposed a fully-connected-neural-network-based charge-sharing reconstruction algorithm to correct the charge-loss and estimate the sub-pixel position for every multi-pixel charge-sharing event.Main resultsEvident energy resolution improvement can be observed by comparing the spectrum produced by a simple charge-sharing addition method and the proposed energy correction methods. We also demonstrate that sub-pixel resolution can be achieved in projections obtained with a small pinhole collimator and an innovative micro-ring collimator.SignificanceThese achievements are crucial for multiple-tracer SPECT imaging applications, and for other semiconductor detector-based imaging modalities.