Edge information diffusion based reconstruction (EIDR) for cone beam computed laminography.

Area of Science:

• Industrial Nondestructive Testing
• Image Reconstruction Algorithms
• Computed Tomography

Background:

• Computed laminography (CL) is a promising nondestructive testing method for flat objects.
• CL image reconstruction faces challenges due to incomplete projection data.
• Conventional computed tomography (CT) methods blur vertical edges in CL reconstructions.

Purpose of the Study:

• To develop an effective CL image reconstruction method for flat object inspection.
• To address blurring and inter-slice aliasing caused by incomplete CL scan data.
• To improve the accuracy of CL-based nondestructive testing.

Main Methods:

• An edge information diffusion method was developed, fixing and propagating horizontal edge information.
• This diffusion procedure acts as regularization for CT reconstruction.
• The proposed method combines edge information diffusion with conventional CT algorithms.

Main Results:

• The proposed method effectively suppresses inter-slice aliasing and blurring.
• Experimental results on simulated and real data validate the method's effectiveness.
• The approach outperforms existing state-of-the-art CL reconstruction methods.

Conclusions:

• The developed edge information diffusion method significantly enhances CL image reconstruction quality.
• This technique offers a robust solution for nondestructive testing of flat industrial objects.
• The proposed method provides superior performance compared to current state-of-the-art techniques.