Neighbor2Inverse adapts the Neighbor2Neighbor principle to train a denoising network directly in the image domain for low-dose PBI-CT by using independently noised subsampled projections.
Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object
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A stepped-grating structured-illumination method recovers high-frequency X-ray information via Fourier decomposition to achieve 2.2-fold resolution improvement in projection images and integrates with tomography.
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Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT
Neighbor2Inverse adapts the Neighbor2Neighbor principle to train a denoising network directly in the image domain for low-dose PBI-CT by using independently noised subsampled projections.
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Super-Resolution Structured-Illumination X-Ray Microscopy based on Fourier Decomposition
A stepped-grating structured-illumination method recovers high-frequency X-ray information via Fourier decomposition to achieve 2.2-fold resolution improvement in projection images and integrates with tomography.