论文标题

使用运动模糊的超声图像的运动参数估计

Estimation of Motion Parameters for Ultrasound Images Using Motion Blur Invariants

论文作者

Shakibaei, Barmak Honarvar, Zhao, Yifan, Erkoyuncu, John Ahmet

论文摘要

胎儿超声图像的质量受到运动模糊的显着影响,而成像系统需要低运动质量才能捕获准确的数据。这可以通过在时间或频域中的运动模糊模型来实现。我们提出了一个新的在频率和矩域中的线性运动模糊模型,以分析超声图像的Blur卷积的不变特征。此外,该模型还有助于提供模糊长度和角度的运动参数的估计。这些结果可能意味着在超声成像应用中这种不变方法的巨大潜力。

The quality of fetal ultrasound images is significantly affected by motion blur while the imaging system requires low motion quality in order to capture accurate data. This can be achieved with a mathematical model of motion blur in time or frequency domain. We propose a new model of linear motion blur in both frequency and moment domain to analyse the invariant features of blur convolution for ultrasound images. Moreover, the model also helps to provide an estimation of motion parameters for blur length and angle. These outcomes might imply great potential of this invariant method in ultrasound imaging application.

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