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Method for Numeric Estimation of Cupping Effect on CT Images

机译:CT图像拔罐效应数值估计的方法

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Usage of common reconstruction algorithms like Filtered Back Projection and Algebraic Reconstruction Techniqueto the projection data acquired with poly-chromatic probing radiation leads to the appearance of a cup-like distortion ofthe value profile in reconstructed images. While many methods of the poly-chromatic probing artifacts suppression aresuggested, the numerical estimation algorithm of the “Cupping effect” typically is not considered to be important.Described methods imply manual regions selection where the intensity will be compared, or just use experts’ opinion onthe effect presence. In this paper, we suggest automatic estimation of the “Cupping effect” method based on utilizing thedistance transform built using the objects mask. As a result, we obtain a numeric estimation of the intensity change fromthe border to the center of the object. As the final image index, a weighted sum of the ratings of all objects is used. Whilepositive value shows the magnitude of the “Cupping effect”, a negative value, on the contrary, shows magnitude of thereverse “Cupping effect”. In the paper, we demonstrate the method used on simulated data and compare it with severaldifferent techniques for distortion evaluation due to poly-chromatic probing. Finally, we show method effectiveness onreal data acquired with laboratory tomography.
机译:普通重建算法的用途,如过滤后投影和代数重建技术与多色探测辐射获取的投影数据导致杯状失真的外观重建图像中的值配置文件。虽然多色探测伪影抑制的许多方法是建议,“拔罐效应”的数值估计算法通常不被认为是重要的。描述方法意味着手动区域选择强度的选择,或者只是使用专家的意见效果存在。在本文中,我们建议自动估计基于利用的“拔罐效应”方法使用对象掩码构建的距离变换。结果,我们获得了强度变化的数值估计边界到物体的中心。作为最终图像索引,使用所有对象的额定值的加权和。尽管正值表示“拔罐效应”,相反的负值显示出的幅度反向“拔罐效果”。在论文中,我们演示了模拟数据上使用的方法,并将其与几个进行比较多色探测引起的变形评价的不同技术。最后,我们展示了方法有效性用实验室断层扫描获得的真实数据。

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