320 kV锥束工业CT成像系统开发  

Development of 320 kV Cone Beam Industrial CT Imaging System

作　　者：凌雪 敖波[1] 邓翠贞[1] 刘海强 张士晶[1] LING Xue;AO Bo;DENG Cui-zhen;LIU Hai-qiang;ZHANG Shi-jing(Key Laboratory of Nondestructive Testing(Ministry of Education),Nanchang Hangkong University,Nanchang 330063,China;AECC Shenyang Liming Aeroengine Corporation Ltd,Shenyang 110043,China)

机构地区：[1]南昌航空大学无损检测技术教育部重点实验室,南昌330063 [2]中国航发沈阳黎明航空发动机有限责任公司,沈阳110043

出　　处：《南昌航空大学学报（自然科学版）》2024年第2期97-103,共7页Journal of Nanchang Hangkong University(Natural Sciences)

基　　金：国家自然科学基金(62361044);无损检测技术教育部重点实验室开放基金(EW201908440)。

摘　　要：基于实验室设备自主开发了一套320 kV锥束工业CT成像系统。首先设计了基于运动控制卡的六轴机械扫描平台,并将其与320 kV射线机、平板探测器结合搭建了锥束CT成像系统的硬件。其次,利用平板探测器和运动控制卡的动态链接库开发锥束CT投影数据采集软件和重建软件,自主开发FDK算法并基于CUDA架构实现FDK算法的GPU加速。最后,采用阻尼器对锥束CT成像系统进行测试。结果表明,整个系统运行稳定,可以获得高质量的CT重建图像,且重建效果与VG STUDIO MAX 3.4软件的重建效果一致。A self-developed 320 kV cone-beam industrial CT imaging system was designed with laboratory equipment.Firstly,a sixaxis mechanical scanning platform based on motion control card was designed,and the hardware of the cone-beam CT imaging system was assembled,integrating a 320 kV X-ray machine and a flat panel detector.Secondly,using the dynamic link library of the flat panel detector and motion control card,softwares for cone beam CT projection data acquisition and reconstruction were developed.The FDK algorithm was independently developed and GPU acceleration of the FDK algorithm were implemented based on the CUDA architecture.Finally,a damper was utilized to test the cone-beam CT imaging system.The results show that the entire system operats stably and is capable of producing high-quality CT reconstruction images,which is consistent with the reconstruction effect of VG Studio MAX 3.4 software.

关 键 词：锥束CT 运动控制 数据采集 FDK算法 

分 类 号：TH862[机械工程—仪器科学与技术]