基于波前调制的 X 射线散射张量断层成像通用重建方法

IF 3.8 2区 物理与天体物理 Q2 PHYSICS, APPLIED Physical Review Applied Pub Date : 2024-08-12 DOI:10.1103/physrevapplied.22.024031
Ginevra Lautizi, Alain Studer, Marie-Christine Zdora, Fabio De Marco, Jisoo Kim, Vittorio Di Trapani, Federica Marone, Pierre Thibault, Marco Stampanoni
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引用次数: 0

摘要

我们提出了一种基于能量守恒的全场 X 射线散射张量断层成像的通用方法,该方法适用于使用不同波前调制器获得的数据。利用这种算法,我们为基于斑点的张量断层成像铺平了道路。所提出的模型依赖于一种数学方法,可以调整空间分辨率和信号灵敏度。我们介绍了该算法在三种不同成像模式中的应用,并展示了它在 X 射线定向暗场成像中的应用潜力。
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Universal reconstruction method for x-ray scattering tensor tomography based on wavefront modulation
We present a versatile method for full-field x-ray scattering tensor tomography that is based on energy conservation and is applicable to data obtained using different wavefront modulators. Using this algorithm, we pave the way for speckle-based tensor tomography. The proposed model relies on a mathematical approach that allows tuning spatial resolution and signal sensitivity. We present the application of the algorithm to three different imaging modalities and demonstrate its potential for applications of x-ray directional dark-field imaging.
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来源期刊
Physical Review Applied
Physical Review Applied PHYSICS, APPLIED-
CiteScore
7.80
自引率
8.70%
发文量
760
审稿时长
2.5 months
期刊介绍: Physical Review Applied (PRApplied) publishes high-quality papers that bridge the gap between engineering and physics, and between current and future technologies. PRApplied welcomes papers from both the engineering and physics communities, in academia and industry. PRApplied focuses on topics including: Biophysics, bioelectronics, and biomedical engineering, Device physics, Electronics, Technology to harvest, store, and transmit energy, focusing on renewable energy technologies, Geophysics and space science, Industrial physics, Magnetism and spintronics, Metamaterials, Microfluidics, Nonlinear dynamics and pattern formation in natural or manufactured systems, Nanoscience and nanotechnology, Optics, optoelectronics, photonics, and photonic devices, Quantum information processing, both algorithms and hardware, Soft matter physics, including granular and complex fluids and active matter.
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