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64层CT骨关节图像后处理技术及临床价值研究
The Theoretical Basis of 64-Slice CT in Skeleton
【作者】 陈海松;
【导师】 柳澄;
【作者基本信息】 山东大学 , 影像医学与核医学, 2006, 博士
【摘要】 目的:前瞻性研究64层CT骨关节图像后处理技术的理论基础,包括不同扫描参数和后处理参数对骨关节CT后处理图像质量的影响,寻找最佳的扫描和后处理参数组合。材料与方法:对300例被检查者均分别采用两种不同的螺距(0.9或1.5mm)进行扫描,采用不同的扫描与重建参数获取300例骨关节直接扫描的横断面图像、后处理的横断面及长轴位的MPR图像及VR图像,对图像质量进行评分,并进行统计学处理,比较图像质量。结果:采用:矩阵512×512,FOV310mm,准直0.6mm,可实现各向同性扫描。对于骨关节CT图像,薄层厚、大螺距的组合优于大层厚、小螺距组合,最佳扫描参数为矩阵512×512,FOV310mm,螺距1.5,准直0.6mm;对于直接扫描图像和MPR图像,最佳后重建参数为层厚0.6mm,重建间隔50%,骨算法重建。对于VR图像,软组织算法的图像明显优于骨算法的图像。结论:不同的扫描与后处理参数对骨关节图像质量有明显影响,上述最佳的参数使64层CT在最短的时间内以最小的球管损耗达到图像的各向同性并显示最佳的骨关节图像。
【Abstract】 Objective: To study the theoretical basis of 64-slice CT in skeleton , including the effect of scanning and post-processing parameters to the imaging quality of bone by 64-slice CT, and find out the best scanning and post-processing parameters. Materials and methods: Different parameters of scanning and post-processing were used to obtain direct-scanning transverse image , post-processing transverse and longitudinal MPR images and VR images of 300 patients. The quality of all the images was valued and compared, the scores given were analyzed statically. Results: To long bone CT images, the parameters that consist of a smaller slice-thickness with a larger pitch is better than that of a larger slice-thickness with a smaller pitch. The best post-processing parameters for direct scanning images and MPR images are slice thickness 0.6mm, pitch 1.5, reconstruction increment 50%, high-resolution algorithm. For VR images, soft tissue algorithm is remarkly better than high-resolution algorithm.Conclusion: The qualities of long bone CT images can be greatly influenced by scanning and post-processing parameters and the above best parameters make it reality to get isotropic and best long bone images in the shortest time with the least X-ray tube exhaustion by 64-slice CT.
【Key words】 64-slice CT; Long bone; Parameters; Imaging quality; Multi-direction adjusted MPR; VR; Tomography, X-ray computed; Image processing,computer-assisted; Skeleton;
- 【网络出版投稿人】 山东大学 【网络出版年期】2006年 12期
- 【分类号】R816.8
- 【下载频次】220