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首页> 外文期刊>Radiology Research and Practice >Developing of a Mathematical Model to Perform Measurements of Axial Vertebral Rotation on Computer-Aided and Automated Diagnosis Systems, Using Raimondi’s Method
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Developing of a Mathematical Model to Perform Measurements of Axial Vertebral Rotation on Computer-Aided and Automated Diagnosis Systems, Using Raimondi’s Method

机译:使用Raimondi方法,在计算机辅助和自动诊断系统上进行数学模型进行轴向椎体旋转测量的数学模型

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Introduction . Axial vertebral rotation (AVR) is a basic parameter in the study of idiopathic scoliosis and on physical two-dimensional images. Raimondi’s tables are the most used method in the quantification of AVR. The development of computing technologies has enabled the creation of computer-aided or automated diagnosis systems (CADx) with which measurement on medical images can be carried out more quickly, simply, and with less intra and interobserver variabilities than manual methods. Although there are several publications dealing with the measurement of AVR in CADx systems, none of them provides information on the equation or algorithm used for the measurement applying Raimondi’s method. Goal . The aim of this work is to perform a mathematical modelling of the data contained in Raimondi’s tables that enable the Raimondi method to be used in digital medical images more precisely and in a more exact manner. Methods . Data from Raimondi’s tables were tabulated on a first step. After this, each column of Raimondi’s tables containing values corresponding to vertebral body width ( D ) were adjusted to a curve determined by AVR?=? f ?( d ). Third, representative values of each rotation divided by D were obtained through the equation of each column D . In a fourth step, a regression line was fitted to the data in each row, and from its equation, the mean value of the D / d distribution is calculated (value corresponding to the central column, D ?=?45). Finally, a curve was adjusted to the obtained data using the least squares method. Summary and Conclusion . Our mathematical equation allows the Raimondi method to be used in digital images of any format in a more accurate and simplified approach. This equation can be easily and freely implemented in any CADx system to quantify AVR, providing a more precise use of Raimondi’s method, as well as being used in traditional manual measurement as it is performed with Raimondi tables.
机译:介绍 。轴向椎体旋转(AVR)是在脊柱侧凸的研究和物理上的二维图像的基本参数。雷蒙迪的表在AVR的定量最常用的方法。计算技术的发展已使与医学图像测量可以更迅速地进行计算机辅助或自动诊断系统(的CADx)的创建,简单地,用更少的帧内和观察者间变率比手动方法。虽然有一些出版物处理AVR中的CADx系统的测量,他们没有提供用于施加高主教的方法测量的方程或算法的信息。目标 。这个工作的目的是执行包含在莱蒙迪的表,使所述莱蒙迪方法的数据的数学建模在数字医学图像更精确地并以更精确的方式被使用。方法 。来自高主教的表中的数据进行列表上的第一步。在此之后,包含对应于椎体宽度(d)值莱蒙迪的表的每一列被调整到由曲线确定AVR?=? F'(d)。通过每一列d的方程,获得每一转由d除以三,代表值。在第四步骤中,将回归直线拟合每一行中的数据,并从它的方程中,d / d分布的平均值被计算(值对应于中心柱,d =?45)。最后,曲线调整为使用最小二乘法所得到的数据。总结和结论。我们的数学方程允许以任何格式的数字图像在一个更准确的和简化的方法中使用的方法雷蒙迪。此方程可以在任何的CADx系统能够容易且自由地实现量化AVR,从而提供更精确的使用莱蒙迪的方法的,以及因为它与莱蒙迪表中执行在传统的手动测量中使用。

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