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A sub-matrix method for extracting x-ray coherent scattering form factors from image plate data

机译:一种用于从图像板数据中提取X射线相干散射形式因子的子矩阵方法

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The coherent scattering form factor defines a material's small angle x-ray scattering properties. These scattering properties can provide useful medical diagnostic information if properly utilized. Measurement of the coherent scattering form factor is difficult, requiring expensive equipment and long measurement times. We show that it is possible to measure the coherent scattering form factor using standard clinical equipment through a matrix equation. The matrix elements are constructed from knowledge of the input x-ray spectrum. In the ideal case, the form factor can be extracted from this equation by inverting the matrix. For typical x-ray spectra and form factors, however, the matrix tends to be poorly conditioned, leading to large errors upon inversion. We have developed a sub-matrix method that constructs a series of smaller, well-conditioned matrices that can be accurately inverted to give the required form factor. We show through numerical simulations that the sub-matrix method can accurately measure the form factor of common tissue materials. Root mean square deviations of 0.0502 and 0.0804 were calculated for the form factors of water and fat with 90 kV spectra and 0.2 mm of tungsten filtration. Over the measurement range, the form factors vary between approximately 0.5 and 2.5. We show that the optimal spectral shape when using the sub-matrix method is one that is strongly peaked at high energies and that using an improperly chosen spectrum can result in a significant loss of accuracy. We also demonstrate that the sub-matrix method is not readily applicable for measurements of strongly ordered materials.
机译:相干散射形状因子限定了材料的小角度X射线散射特性。如果适当使用,这些散射特性可以提供有用的医疗诊断信息。相干散射形式因子的测量难以困难,需要昂贵的设备和长测量时间。我们表明,可以通过矩阵方程使用标准临床设备来测量相干散射形式因素。矩阵元件由输入X射线光谱的知识构成。在理想情况下,可以通过反转矩阵从该等式中提取形状因子。然而,对于典型的X射线光谱和形状因子,矩阵趋于调节差,导致反转时误差。我们开发了一种亚矩阵方法,构造一系列较小,条件的矩阵,可以准确地倒置以提供所需的形状因子。我们通过数值模拟显示亚矩阵方法可以准确测量常见组织材料的形状因子。为0.0502和0.0804的根均方偏差为水和脂肪的形态因素计算,具有90 kV光谱和0.2mm钨过滤。在测量范围内,形状因子在约0.5和2.5之间变化。我们表明使用子矩阵方法时的最佳光谱形状是在高能量下强烈达到峰值的最佳频谱形状,并且使用不正确的光谱可能导致显着的精度损失。我们还表明,子矩阵方法不易适用于强烈有序材料的测量。

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