Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA.
Biomed Eng Online. 2021 Sep 15;20(1):92. doi: 10.1186/s12938-021-00928-x.
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.
阿尔茨海默病患者颞叶和额叶中的淀粉样沉积物使它们成为辅助早期诊断的潜在目标。最近，光谱小角 X 射线散射技术已被提出用于探测深部目标，如淀粉样斑块。
我们描述了一种针对深部目标特征化的光束方向优化方法。该模型预测了来自具有不同形状、大小和位置的目标的散射谱的主要特征。我们发现，随着目标尺寸的增加，由于位置不确定性，引入了额外的模糊；入射角通过改变路径长度或有效目标尺寸来影响散射谱。对于颞叶和额叶目标，光束的有效性变化高达 2 个数量级。
光束方向优化可能允许针对特定患者的最佳路径，以改善信号特征化。
