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Beam orientation optimization for coherent X-ray scattering from distributed deep targets

机译:分布式深度目标相干X射线散射的光束定向优化

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Amyloid deposits in the temporal and frontal lobes in patients with Alzheimer’s disease make them potential targets to aid in early diagnosis. Recently, spectral small-angle X-ray scattering techniques have been proposed for interrogating deep targets such as amyloid plaques. We describe an optimization approach for the orientation of beams for deep target characterization. The model predicts the main features of scattering profiles from targets with varying shape, size and location. We found that increasing target size introduced additional smearing due to location uncertainty, and incidence angle affected the scattering profile by altering the path length or effective target size. For temporal and frontal lobe targets, beam effectiveness varied up to 2 orders of magnitude. Beam orientation optimization might allow for patient-specific optimal paths for improved signal characterization.
机译:在阿尔茨海默病患者患者中颞叶中的淀粉样膏沉积物,使它们能够帮助早期诊断的潜在目标。 最近,已经提出了光谱小角X射线散射技术,用于询问诸如淀粉样蛋白斑块的深靶。 我们描述了深度目标表征光束方向的优化方法。 该模型预测具有不同形状,大小和位置的目标散射曲线的主要特征。 我们发现,由于位置不确定度,增加的目标尺寸引入了额外的涂抹,并且通过改变路径长度或有效目标尺寸,入射角影响散射轮廓。 对于颞叶目标,光束效果多达2个级别。 光束定向优化可能允许患者特定的最佳路径改进的信号表征。

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