Ego-motion Estimation for Low-cost Freehand Ultrasound Scanner
Ego-motion Estimation for Low-cost Freehand Ultrasound Scanner
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DOI：
10.1109/icassp.2019.8683002
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Ayusha Abbas;J. Neasham;S. M. Naqvi
中科院分区：
文献类型：
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作者：
Ayusha Abbas;J. Neasham;S. M. Naqvi
本文介绍了一个非常低成本的医疗超声成像系统，使用自我运动估计的概念工作。这将使得能够从具有单个固定光束的非常简单的探头构建B模式图像，该单个固定光束手动扫描皮肤（线性）或相对于皮肤旋转（极坐标）。在线性扫描的情况下，已经提出了一种算法，该算法测量连续扫描线之间的去相关以估计探头速度。借助无迹卡尔曼滤波器（UKF），这用于重建分辨率体模的几何正确2D图像，该图像具有明确的图像图案，用于精确测量几何精度。在极扫描的情况下，从低成本MEMS陀螺仪获得的角度数据用于重建图像。还显示了在人类受试者上收集的数据的例子，这些数据显示了用于临床诊断的有希望的结果。
This paper describes work towards a very low-cost medical ultrasound imaging system using concepts of ego-motion estimation. This will enable a B-mode image to be constructed from a very simple probe with a single fixed beam which is either manually scanned across the skin (linear) or rotated against the skin (polar). In the case of a linear scan, an algorithm has been proposed which measures the decorrelation between successive scanlines to estimate probe velocity. With the aid of an Unscented Kalman Filter (UKF), this is used to reconstruct a geometrically correct 2D image of a resolution phantom which has well-defined image patterns for precise measurement of geometric accuracy. In the case of a polar scan, angular data obtained from a low cost MEMS gyroscope is used to reconstruct the image. Examples are also shown of data collected on human subjects, which show promising results for clinical diagnostics.