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Quantitative performance comparison of derivative operators for intervertebral kinematics analysis

机译:导数算子在椎间运动学分析中的定量性能比较

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Comparison of derivative operators via quantitative performance analysis is rarely addressed in medical imaging. Indeed, the main application of such operators is the extraction of edges and, since there is no unequivocal definition of edges, the common trend is to identify the best performing operator based on a qualitative match between the extracted edges and the fickle human perception of object boundaries. This study presents an objective comparison of four first-order derivative operators through quantitative analysis of results yielded in a specific task, i.e. a spine kinematics application. Such application is based on a template matching method, which estimates common kinematic parameters of intervertebral segments from an X-ray fluoroscopy sequence of spine motion, by operating on the image derivatives of each frame. Therefore, differences in image derivatives, computed via different derivative operators, may lead to differences in estimated parameters of intervertebral kinematics. The comparison presented in this study focused on the trajectory of the instantaneous center of rotation (ICR) of an intervertebral segment, as it is particularly sensitive even to very small differences in displacements and velocities. Therefore, a quantitative analysis of the discrepancies between the ICR trajectories, obtained with each of the four considered derivative operators, was carried out by defining quantitative measures. The results showed detectable differences in the obtained ICR trajectories, thus highlighting the need for quantitative analysis of derivative operator performances in applications aimed at providing quantitative results. However, the significance level of such differences for clinical applications should be further assessed, but, currently, it is not possible, as there is no consensus and sufficient data on kinematic parameters features associated with specific spinal pathologies.
机译:在医学成像中,很少通过定量性能分析来比较衍生算子。确实,此类算子的主要应用是边缘的提取,并且由于没有明确的边缘定义,因此共同的趋势是基于提取的边缘与善变的人类对物体的感知之间的定性匹配来确定性能最佳的算子边界。这项研究通过对特定任务(即脊柱运动学应用)中产生的结果进行定量分析,提出了对四个一阶导数算子的客观比较。这种应用是基于模板匹配方法的,该模板匹配方法通过对每个帧的图像导数进行操作,根据脊柱运动的X射线荧光透视序列估计椎间段的常见运动学参数。因此,通过不同的导数运算符计算出的图像导数的差异可能会导致椎间运动学估计参数的差异。这项研究中提出的比较侧重于椎间节段的瞬时旋转中心(ICR)的轨迹,因为它即使对位移和速度的很小差异也特别敏感。因此,通过定义量化方法,对使用四个被考虑的导数算子分别获得的ICR轨迹之间的差异进行了定量分析。结果表明,在获得的ICR轨迹中存在可检测的差异,因此强调了对旨在提供定量结果的应用中的衍生算子性能进行定量分析的需要。但是,应进一步评估此类差异对临床应用的显着性水平,但目前尚不可能,因为尚无关于与特定脊柱病变相关的运动学参数特征的共识和足够的数据。

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