Unwrapping differential x-ray phase-contrast images through phase estimation from multiple energy data.

Area of Science:

• X-ray imaging and optics
• Phase contrast imaging
• Tomographic reconstruction

Background:

• Grating-based differential phase-contrast imaging is a powerful technique for X-ray imaging.
• Phase wrapping is a common artifact in differential phase-contrast data that hinders accurate reconstruction.
• Existing methods for phase unwrapping can be complex and may not be universally applicable.

Purpose of the Study:

• To develop and demonstrate a novel spectral phase unwrapping approach for grating-based differential phase-contrast data.
• To address the challenge of phase wrapping in X-ray tomographic datasets.
• To improve the accuracy and reliability of phase-retrieval in X-ray imaging applications.

Main Methods:

• Utilized energy-discriminated measurements to estimate the unwrapped interferometer phase shift.
• Applied maximum likelihood principles for robust phase estimation.
• Tested the spectral phase unwrapping technique on tomographic datasets acquired at various X-ray energies using synchrotron radiation.

Main Results:

• The proposed spectral phase unwrapping method successfully corrected phase wrapping artifacts in the differential phase-contrast data.
• Demonstrated the effectiveness of the technique on complex tomographic datasets.
• Validated the method's performance using synchrotron X-ray radiation.

Conclusions:

• The developed spectral phase unwrapping approach is effective for correcting phase wrapping in grating-based differential phase-contrast X-ray imaging.
• This method offers a significant advancement for accurate phase retrieval in X-ray tomography.
• The technique has the potential to enhance various applications relying on high-quality phase-contrast imaging.