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Automatic Orientation Estimation of Inertial Sensors in C-Arm CT Projections

机译:C形臂CT投影中惯性传感器的自动定向估计

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摘要

To obtain CT images of the knee joint in a more lifelike position, data acquisition can be performed with patients in standing rather than in lying position. However, in that situation, people tend to show involuntary motion. One possibility to compensate for that motion is the use of Inertial Measurement Units, that capture the accelerations during the scan. For this purpose, their local coordinate system needs to be known. An estimation based on the SIFT algorithm was implemented and compared to an existing approach that uses the Fast Radial Symmetry transform and to expert labels for evaluation. The SIFT method showed to be superior to the existing approach as it could extract stable feature points from the projections that were used to estimate the three-dimensional coordinate system in a reliable manner. The final algorithm achieved a mean euclidean distance of 2.61 mm between the calculated position of the origin and the assumed ground truth by the expert labels.
机译:为了获得更加栩栩如生位置膝关节的CT图像,数据采集可以与患者站立,而不是在平躺位置进行。然而,在这种情况下,人们往往会表现出不由自主的运动。以补偿运动的一种可能性是使用惯性测量单元,其捕获在扫描期间的加速度的。为此,被称为当地坐标系统的需求。基于该SIFT算法估计年实施相比,使用快速径向对称性变换和专家标签评估现有的做法。显示SIFT方法要优于现有的方法,因为它可以从用于给三维坐标系估计以可靠的方式突起提取稳定特征点。最终使用的算法由专家标签实现的原点的所计算的位置和假设的基础事实之间2.61毫米的平均欧几里得距离。

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