Li Q, Liu J, Mo Y, Yu J, Zhang K, Zhang H
School of Biomedical Engineering, Southern Medical University, Guangzhou 510000 China.
Nan Fang Yi Ke Da Xue Xue Bao. 2021 Jun 20;41(6):916-922. doi: 10.12122/j.issn.1673-4254.2021.06.15.
To analyze the respiratory motion of the scanned object during acquisition of digital chest tomosynthesis (CTS) using a linear model.
Respiratory signals were generated by extracting the motion of the diaphragm from the projection radiographs. The diaphragm trajectory obtained by dynamic programming (DP) was modeled and fitted, and according to the fitting of the data, the base motion curve and respiratory signal curve of the diaphragm were separated. Multipurpose chest phantom data, simulated digital Xcat phantom data and the datasets of 3 clinical patients were used to validate the performance of the proposed method.
The motion trajectory of the diaphragm extracted from multipurpose chest phantom simulation data was linear. The respiratory signals could be effectively extracted from the 3 datasets of clinical patients in different respiratory states. The correlation coefficient between the respiratory signal extracted in Xcat simulation experiment and the original design was 0.9797.
The linear model can effectively obtain the respiratory motion information of patients in real time, thus enabling the physicians to make clinical decisions on a rescan.
使用线性模型分析在数字胸部断层合成(CTS)采集过程中扫描对象的呼吸运动。
通过从投影射线照片中提取膈肌运动来生成呼吸信号。对通过动态规划(DP)获得的膈肌轨迹进行建模和拟合,并根据数据拟合情况分离膈肌的基础运动曲线和呼吸信号曲线。使用多用途胸部体模数据、模拟数字Xcat体模数据以及3例临床患者的数据集来验证所提方法的性能。
从多用途胸部体模模拟数据中提取的膈肌运动轨迹呈线性。在不同呼吸状态下,可从3例临床患者的数据集中有效提取呼吸信号。在Xcat模拟实验中提取的呼吸信号与原始设计之间的相关系数为0.9797。
线性模型能够有效实时获取患者的呼吸运动信息,从而使医生能够就重新扫描做出临床决策。