School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China.
Key Laboratory of Intelligent Image Analysis for Sensory and Cognitive Health, Ministry of Industry and Information Technology of China, Hangzhou, 310018, Zhejiang, China.
Sci Rep. 2023 Sep 11;13(1):15005. doi: 10.1038/s41598-023-42163-5.
The myocardial single photon emission computed tomography (SPECT) is a good study due to its clinical significance in the diagnosis of myocardial disease and the requirement for improving image quality. However, SPECT imaging faces challenges related to low spatial resolution and significant statistical noise, which concerns patient radiation safety. In this paper, a novel reconstruction system combining multi-detector elliptical SPECT (ME-SPECT) and computer tomography (CT) is proposed to enhance spatial resolution and sensitivity. The hybrid imaging system utilizes a slit-slat collimator and elliptical orbit to improve sensitivity and signal-to-noise ratio (SNR), obtains accurate attenuation mapping matrices, and requires prior information from integrated CT. Collimator parameters are corrected based on CT reconstruction results. The SPECT imaging system employs an iterative reconstruction algorithm that utilizes prior knowledge. An iterative reconstruction algorithm based on prior knowledge is applied to the SPECT imaging system, and a method for prioritizing the reconstruction of regions of interest (ROI) is introduced to deal with severely truncated data from ME-SPECT. Simulation results show that the proposed method can significantly improve the system's spatial resolution, SNR, and image fidelity. The proposed method can effectively suppress distortion and artifacts with the higher spatial resolution ordered subsets expectation maximization (OSEM); slit-slat collimation.
心肌单光子发射计算机断层扫描(SPECT)是一项很好的研究,因为它在诊断心肌疾病方面具有临床意义,并且需要提高图像质量。然而,SPECT 成像面临着与低空间分辨率和显著统计噪声相关的挑战,这涉及到患者的辐射安全。在本文中,提出了一种结合多探测器椭圆 SPECT(ME-SPECT)和计算机断层扫描(CT)的新型重建系统,以提高空间分辨率和灵敏度。混合成像系统利用狭缝准直器和椭圆轨道提高灵敏度和信噪比(SNR),获得准确的衰减映射矩阵,并需要来自集成 CT 的先验信息。根据 CT 重建结果校正准直器参数。SPECT 成像系统采用基于先验知识的迭代重建算法。将基于先验知识的迭代重建算法应用于 SPECT 成像系统,并引入一种针对 ME-SPECT 严重截断数据的感兴趣区域(ROI)重建优先级的方法。模拟结果表明,所提出的方法可以显著提高系统的空间分辨率、SNR 和图像保真度。该方法可以有效地抑制高空间分辨率有序子集期望最大化(OSEM);狭缝准直器的失真和伪影。