From Event: SPIE Optical Engineering + Applications, 2016
X-ray phase contrast imaging provides greater contrast compared to conventional absorption contrast imaging. It has higher sensitivity in discriminating mass density difference in a sample. Therefore phase contrast imaging has broad applications in dynamic tomography in which signal-to-noise ratio is usually traded off to the desired temporal resolution. Single-distance propagation phase contrast tomography is the most popular approach at many synchrotron facilities. The simple and flexible setup facilitates complicated in situ experiments. There are few phase retrieval algorithms available for phase-contrast image data processing. All the algorithms rely on certain models. In this talk we present a phase retrieval algorithm for phase-contrast tomography that is suitable for large propagation distance under phase-attenuation duality assumption. The validity of the algorithm is proved with both simulated and experimental data. The reconstruction results with the new algorithm show improved accuracy compared to other model based algorithms. The framework of this algorithm may be extended to the scenario in which phase-attenuation assumption is not satisfied, therefore a general model-free phase retrieval approach for single-distance phase contrast tomography.
Xianghui Xiao, Aditya Mohan, and Charles A. Bouman, "CRITIR: model-based reconstruction for x-ray phase contrast tomography
(Conference Presentation)," Proc. SPIE 9967, Developments in X-Ray Tomography X, 996713 (Presented at SPIE Optical Engineering + Applications: August 31, 2016; Published: 2 November 2016); https://doi.org/10.1117/12.2239516.5186291890001.
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