Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
Clinical Imaging Center for Healthcare, Nippon Medical School, Tokyo, Japan.
Sci Rep. 2021 Jan 29;11(1):2644. doi: 10.1038/s41598-021-82082-x.
The aim of this study was to demonstrate the usefulness of SwiftScan with a low-energy high-resolution and sensitivity (LEHRS) collimator for bone scintigraphy using a novel bone phantom simulating the human body. SwiftScan planar image of lateral view was acquired in clinical condition; thereafter, each planar image of different blend ratio (0-80%) of Crality 2D processing were created. SwiftScan planar images with reduced acquisition time by 25-75% were created by Poisson's resampling processing. SwiftScan single photon emission computed tomography (SPECT) was acquired with step-and-shoot and continuous mode, and SPECT images were reconstructed using a three-dimensional ordered subset expectation maximization incorporating attenuation, scatter and spatial resolution corrections. SwiftScan planar image showed a high contrast to noise ratio (CNR) and low percent of the coefficient of variance (%CV) compared with conventional planar image. The CNR of the tumor parts in SwiftScan SPECT was higher than that of the conventional SPECT image of step and shoot acquisition, while the %CV showed the lowest value in all systems. In conclusion, SwiftScan planar and SPECT images were able to reduce the image noise compared with planar and SPECT image with a low-energy high-resolution collimator, so that SwiftScan planar and SPECT images could be obtained a high CNR. Furthermore, the SwiftScan planar image was able to reduce the acquisition time by 25% when the blend ratio of Clarity 2D processing set to more than 40%.
本研究旨在通过使用新型人体模拟骨体模,展示 SwiftScan 结合低能高分辨率和高灵敏度(LEHRS)准直器在骨闪烁成像中的应用。在临床条件下采集 SwiftScan 侧位平面图像;随后,创建不同混合比(0-80%)的 Crality 2D 处理的每个平面图像。通过泊松重采样处理创建采集时间减少 25-75%的 SwiftScan 平面图像。采用步进和连续模式采集 SwiftScan 单光子发射计算机断层扫描(SPECT),并使用三维有序子集期望最大化方法进行重建,包括衰减、散射和空间分辨率校正。与传统平面图像相比,SwiftScan 平面图像显示出更高的对比度噪声比(CNR)和更低的变异系数(%CV)。与传统的步进和采集 SPECT 图像相比,SwiftScan SPECT 中肿瘤部位的 CNR 更高,而在所有系统中,%CV 显示出最低的值。总之,与使用低能高分辨率准直器的平面和 SPECT 图像相比,SwiftScan 平面和 SPECT 图像能够降低图像噪声,从而获得更高的 CNR。此外,当 Clarity 2D 处理的混合比设置为 40%以上时,SwiftScan 平面图像的采集时间可以减少 25%。