论文标题
基于概率编程的3D SPECT重建中的不确定性分析
Uncertainty Analysis in 3D SPECT Reconstruction based on Probabilistic Programming
论文作者
论文摘要
单光子发射计算机断层扫描（SPECT）是用于动物和人体器官功能分析的核医学成像方式之一。从扫描物体发出的伽马射线用准直仪过滤，并由由γ探测器组成的SPECT头部检测。常规的重建算法并不认为与SPECT准直仪的视野相关的不确定性水平。在本文中，我们结合了SPECT图像重建的概率编程方法。 NO-U-Turn采样器（螺母）用于通过考虑不确定性来估计扫描的对象系统。获得的结果表明，在生成不确定性信息方面，对传统重建方法的3D SPECT图像重建中的作品超过了。但是，对于128x128x128体素及更高的幻影大小，需要进一步改善重建时间。
Single Photon Emission Computed Tomography (SPECT) is one of the nuclear medicine imaging modalities used for functional analysis of animal and human organs. Gamma rays emitted from the scanned body are filtered with collimators and detected by the SPECT head that is composed of an array of gamma detectors. The conventional reconstruction algorithms do not deem the uncertainty level that is associated with the field of view of SPECT collimators. In this paper, we incorporate the probabilistic programming approach for SPECT image reconstruction. No-U-Turn Sampler (NUTS) is used to estimate the scanned object system by considering uncertainty. The obtained results indicate that the presented work in 3D SPECT image reconstruction surpassed over the conventional reconstruction methods in terms of generating uncertainty information. However, the reconstruction time needs to be improved further for phantom sizes of 128x128x128 voxels and higher.
