层析合成
计算机视觉
运动补偿
人工智能
计算机科学
采样(信号处理)
弹道
工件(错误)
迭代重建
运动估计
图像质量
图像(数学)
物理
医学
乳腺癌
天文
乳腺摄影术
内科学
癌症
滤波器(信号处理)
作者
Chumin Zhao,Magdalena Herbst,Thomas Weber,Sebastian Vogt,Ludwig Ritschl,S. Kappler,Jeffrey H. Siewerdsen,Wojciech Zbijewski
摘要
We investigate an image-based strategy to compensate for cardiac motion-induced artifacts in Digital Chest Tomosynthesis (DCT). We apply the compensation to conventional unidirectional vertical "↕" scan DCT and to a multidirectional circular trajectory "O" providing improved depth resolution. Propagation of heart motion into the lungs was simulated as a dynamic deformation. The studies investigated a range of motion propagation distances and scan times. Projection-domain retrospective gating was used to detect heart phases. Sparsely sampled reconstructions of each phase were deformably aligned to yield a motion compensated image with reduced sampling artifacts. The proposed motion compensation mitigates artifacts and blurring in DCT images both for "↕" and "O" scan trajectories. Overall, the "O" orbit achieved the same or better nodule structural similarity index in than the conventional "↕" orbit. Increasing the scan time improved the sampling of individual phase reconstructions.
科研通智能强力驱动
Strongly Powered by AbleSci AI