Li Mingqiang, Ma Kun, Tao Xi, Wang Yongbo, He Ji, Wei Ziquan, Chen Geofeng, Li Sui, Zeng Dong, Bian Zhaoying, Wu Guohui, Liao Shan, Ma Jianhua
School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Guangzhou Key Laboratory of Medical Radioimaging and Detection Technology, Guangzhou 510515, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2019 Feb 28;39(2):192-200. doi: 10.12122/j.issn.1673-4254.2019.09.11.
To develop a digital breast tomosynthesis (DBT) imaging system with optimizes imaging chain.
Based on 3D tomography and DBT imaging scanning, we analyzed the methods for projection data correction, geometric correction, projection enhancement, filter modulation, and image reconstruction, and established a hardware testing platform. In the experiment, the standard ACR phantom and high-resolution phantom were used to evaluate the system stability and noise level. The patient projection data of commercial equipment was used to test the effect of the imaging algorithm.
In the high-resolution phantom study, the line pairs were clear without confusing artifacts in the images reconstructed with the geometric correction parameters. In ACR phantom study, the calcified foci, cysts, and fibrous structures were more clearly defined in the reconstructed images after filtering and modulation. The patient data study showed a high contrast between tissues, and the lesions were more clearly displayed in the reconstructed image.
This DBT imaging system can be used for mammary tomography with an image quality comparable to that of commercial DBT systems to facilitate imaging diagnosis of breast diseases.
开发一种具有优化成像链的数字乳腺断层合成（DBT）成像系统。
基于三维断层扫描和DBT成像扫描，分析投影数据校正、几何校正、投影增强、滤波器调制和图像重建的方法，并建立硬件测试平台。实验中，使用标准ACR体模和高分辨率体模评估系统稳定性和噪声水平。使用商用设备的患者投影数据测试成像算法的效果。
在高分辨率体模研究中，使用几何校正参数重建的图像中线对清晰，无混淆伪影。在ACR体模研究中，滤波和调制后重建图像中的钙化灶、囊肿和纤维结构更清晰。患者数据研究显示组织间对比度高，病变在重建图像中显示更清晰。
该DBT成像系统可用于乳腺断层成像，图像质量与商用DBT系统相当，有助于乳腺疾病的成像诊断。
