Global physics-guided grayscale correction in multi-view detectors.

Area of Science:

• Medical Imaging
• Image Processing
• Physics

Background:

• Multi-view X-ray imaging systems integrate multiple modules to expand the field of view.
• Variations in detector arrays, gain drift, and angle-dependent effects cause cross-view grayscale inconsistencies, degrading image quality.
• Existing correction methods like single-view flat-field correction are insufficient for global consistency.

Purpose of the Study:

• To propose a novel physics-constrained multi-view image correction (PCMIC) method.
• To overcome the limitations of existing methods in achieving global grayscale consistency across multiple X-ray views.
• To improve the overall imaging quality of multi-view X-ray systems.

Main Methods:

• Developed a physics-constrained multi-view image correction (PCMIC) method.
• Constructed a globally shared attenuation field to model view-specific nonlinear responses.
• Incorporated boundary anchoring and monotonicity constraints to ensure physical fidelity.

Main Results:

• PCMIC effectively suppresses stitching artifacts in multi-view X-ray images.
• The method significantly improves grayscale consistency across different views.
• Enhanced structural fidelity and quantitative stability were demonstrated in experiments.

Conclusions:

• The proposed PCMIC method offers a robust solution for correcting grayscale inconsistencies in multi-view X-ray imaging.
• PCMIC ensures strong physical fidelity by utilizing a shared attenuation field and specific constraints.
• The method is validated on a high-resolution micro-CT system, showing superior performance over existing techniques.