利用一维卷积和旋转在高能量 SPECT 成像中实现快速准确的准直器-探测器响应补偿

Lucas Polson, Pedro Esquinas, Sara Kurkowska, Chenguang Li, Peyman Sheikhzadeh, Mehrshad Abbassi, Saeed Farzanehfar, Seyyede Mirabedian, Carlos Uribe, Arman Rahmim
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摘要

在 SPECT 重建中建立准直器-探测器响应(CDR)模型可以提高分辨率和精确定量,特别是对高能量成像(如 Lu-177 和 Ac-225)。然而,当获取的数据中存在大量的室间隔穿透和散射成分时,这种建模就会造成严重的计算瓶颈,因为基于直接卷积的方法需要较大的二维核。本研究提出了一种替代方法,使用由一维卷积和旋转(1D-R)构建的线性操作器来快速、准确地补偿 CDR。为了实现开源开发并在图像重建中使用这些模型,我们在 GitHub 上为 PyTomography 项目发布了一个SPECTPSFToolbox 存储库。
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Fast and Accurate Collimator-Detector Response Compensation in High-Energy SPECT Imaging with 1D Convolutions and Rotations
Modeling of the collimator-detector response (CDR) in SPECT reconstruction enables improved resolution and more accurate quantitation, especially for higher energy imaging (e.g.Lu-177 and Ac-225). Such modeling, however, can pose a significant computational bottleneck when there are substantial components of septal penetration and scatter in the acquired data, since a direct convolution-based approach requires large 2D kernels. The present work presents an alternative method for fast and accurate CDR compensation using a linear operator built from 1D convolutions and rotations (1D-R). To enable open-source development and use of these models in image reconstruction, we release a SPECTPSFToolbox repository for the PyTomography project on GitHub.
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