锥形束CT自动化图像QA软件的设计与实现

摘要

In order to improve the speed and accuracy of cone beam CT image quality assurance, an automatic image quality assurance software based on feature extraction is designed and implemented. This paper introduces how the software can realize the positioning of Catphan500 phantoms and the selection of ROI in each module through Canny algorithm and Hough transform circle detection. For the different modules in the Catphan500 phantom, this paper describes the calculation methods of HU accuracy, spatial linearity, HU uniformity and spatial linearity in the software. Finally, the article verifies the feasibility of the software through experiments.%为了提升锥形束CT图像质量保证的速度和准确性,该文设计并实现了一种基于特征提取的自动化图像质量保证软件.该文介绍了软件如何通过Canny算法和Hough变换圆检测实现Catphan500模体的定位和各个组件中ROI的选取.针对Catphan500模体中的不同组件,该文分别介绍了软件中HU准确性、空间线性度、HU均匀性、空间线性度的计算方法.最后,该文通过实验验证了软件的可行性.