Yuan Jingcheng, Das Mini
Department of Physics, University of Houston, 3507 Cullen Blvd, Houston, TX 77204, USA.
Department of Electrical and Computer Engineering, Department of Biomedical Engineering, University of Houston, 3517 Cullen Blvd, Houston, TX 77204, USA.
ArXiv. 2024 Jan 31:arXiv:2310.19087v2.
X-ray phase contrast imaging holds great promise for improving the visibility of light-element materials such as soft tissues and tumors. Single-mask differential phase contrast imaging method stands out as a simple and effective approach to yield differential phase contrast. In this work, we introduce a novel model for a single-mask phase imaging system based on the transport-of-intensity equation. Our model provides an accessible understanding of signal and contrast formation in single-mask X-ray phase imaging, offering a clear perspective on the image formation process, for example, the origin of alternate bright and dark fringes in phase contrast intensity images. Aided by our model, we present an efficient retrieval method that yields differential phase contrast imagery in a single acquisition step. Our model gives insight into the contrast generation and its dependence on the system geometry and imaging parameters in both the initial intensity image as well as in retrieved images. The model validity as well as the proposed retrieval method is demonstrated via both experimental results on a system developed in-house as well as with Monte Carlo simulations. In conclusion, our work not only provides a model for an intuitive visualization of image formation but also offers a method to optimize differential phase imaging setups, holding tremendous promise for advancing medical diagnostics and other applications.
X射线相衬成像在提高软组织和肿瘤等轻元素材料的可见性方面具有巨大潜力。单掩膜差分相衬成像方法作为一种产生差分相衬的简单有效方法脱颖而出。在这项工作中,我们基于强度传输方程为单掩膜相成像系统引入了一种新颖的模型。我们的模型提供了对单掩膜X射线相成像中信号和对比度形成的易于理解的认识,为成像过程提供了清晰的视角,例如相衬强度图像中明暗条纹交替出现的起源。在我们模型的辅助下,我们提出了一种有效的检索方法,该方法可以在单次采集步骤中生成差分相衬图像。我们的模型深入了解了对比度的产生及其在初始强度图像和检索图像中对系统几何结构和成像参数的依赖性。通过内部开发的系统的实验结果以及蒙特卡罗模拟,证明了模型的有效性以及所提出的检索方法。总之,我们的工作不仅为成像形成提供了一个直观可视化的模型,还提供了一种优化差分相成像设置的方法,对推进医学诊断和其他应用具有巨大潜力。