scholarly journals Gradual edge enhancement in spiral phase contrast imaging with fractional vortex filters

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Jikang Wang ◽  
Wuhong Zhang ◽  
Qianqian Qi ◽  
Shasha Zheng ◽  
Lixiang Chen
Keyword(s):  
Phase Contrast ◽  
Phase Contrast Imaging ◽  
Edge Enhancement ◽  
Contrast Imaging ◽  
Spiral Phase

Speckle-tracking X-ray phase-contrast imaging for samples with obvious edge-enhancement effect

2017 ◽  
Vol 111 (17) ◽  
pp. 174101 ◽  
Author(s):  
Feixiang Wang ◽  
Yudan Wang ◽  
Gongxiang Wei ◽  
Guohao Du ◽  
Yanling Xue ◽  
...  
Keyword(s):  
Speckle Tracking ◽  
Phase Contrast ◽  
Phase Contrast Imaging ◽  
Enhancement Effect ◽  
Edge Enhancement ◽  
Contrast Imaging ◽  
X Ray

Single-pixel spiral phase contrast imaging

2020 ◽  
Vol 45 (14) ◽  
pp. 4028
Author(s):  
Yifan Liu ◽  
Panpan Yu ◽  
Xinyao Hu ◽  
Ziqiang Wang ◽  
Yinmei Li ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Phase Contrast Imaging ◽  
Contrast Imaging ◽  
Single Pixel ◽  
Spiral Phase

scholarly journals Photonic Spin-Multiplexing Metasurface for Switchable Spiral Phase Contrast Imaging

Nano Letters ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 2791-2798 ◽  
Author(s):  
Pengcheng Huo ◽  
Cheng Zhang ◽  
Wenqi Zhu ◽  
Mingze Liu ◽  
Song Zhang ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Phase Contrast Imaging ◽  
Contrast Imaging ◽  
Spiral Phase

scholarly journals Spiral phase contrast imaging in microscopy

2005 ◽  
Vol 13 (3) ◽  
pp. 689 ◽  
Author(s):  
Severin Fürhapter ◽  
Alexander Jesacher ◽  
Stefan Bernet ◽  
Monika Ritsch-Marte
Keyword(s):  
Phase Contrast ◽  
Phase Contrast Imaging ◽  
Contrast Imaging ◽  
Spiral Phase

scholarly journals Edge detection by spiral phase contrast imaging at terahertz frequencies

2021 ◽  
Author(s):  
Hui Liu ◽  
Shiyou Wu ◽  
Meng Zhao ◽  
Shen Zheng ◽  
Chao Li ◽  
...  
Keyword(s):  
Edge Detection ◽  
Phase Contrast ◽  
Phase Contrast Imaging ◽  
Contrast Imaging ◽  
Terahertz Frequencies ◽  
Spiral Phase

Investigation on the Dependency of Phase Retrieval Accuracy Versus Edge Enhancement to the Noise Ratio of X-ray Propagation-Based Phase-Contrast Imaging

2019 ◽  
Vol 25 (05) ◽  
pp. 1201-1212 ◽  
Author(s):  
Lin Zhang ◽  
Huijuan Zhao ◽  
Jingying Jiang ◽  
Limin Zhang ◽  
Jiao Li ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Phase Retrieval ◽  
Forward Problem ◽  
Phase Contrast Imaging ◽  
Edge Enhancement ◽  
Retrieval Performance ◽  
Contrast Imaging ◽  
Detector Resolution ◽  
N Level ◽  
Noise Ratio

AbstractPhase retrieval is necessary for propagation-based phase-contrast imaging (PB-PCI). Arhatari established a model for predicting the impact of the sample-to-detector distance and the system noise on the phase retrieval performance. We have extended Arhatari's model to account for the parameters of excessive source size, finite detector resolution, and geometrical magnification for more practical cases. However, there exist interaction effects among these parameters resulting in difficulty of predicting the phase retrieval performance. In this study, we found that optimizing the trade-off among these parameters for phase retrieval is consistent with the improvement of edge enhancement to noise ratio (EE/N) in the “forward problem” of the PB-PCI. Hence, we engaged in establishing a relationship between EE/N and phase retrieval performance in terms of the “forward problem” and “inverse problem” of the PB-PCI, respectively. Our results showed that, at fixed detector resolution, phase retrieval from the phase-contrast projections at the same EE/N level resulted in the consistent phase retrieval performance. Therefore, the performance of phase retrieval can be predicted based on the EE/N level and be quantitatively optimized by increasing EE/N.

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