Investigation on reconstruction methods applied to 3D terahertz computed tomography

Area of Science:

• Physics
• Imaging Science
• Engineering

Background:

• 3D terahertz computed tomography (TCT) is an emerging imaging technique.
• Reconstruction algorithms are crucial for image quality in TCT.
• Optimizing projection parameters is essential for effective 3D reconstruction.

Purpose of the Study:

• To compare the performance of three reconstruction methods for 3D terahertz computed tomography.
• To evaluate image quality metrics including intensity, contrast, and geometric preservation.
• To demonstrate the applicability of these methods for real-world 3D object imaging.

Main Methods:

• Utilized a monochromatic millimeter wave imaging system with an infrared temperature sensor for 3D TCT.
• Implemented and compared standard back-projection and two iterative reconstruction algorithms.
• Investigated the impact of the number of projections on image reconstruction quality.

Main Results:

• Iterative reconstruction methods demonstrated superior performance compared to standard back-projection.
• Image quality was assessed based on intensity, contrast, and geometric fidelity.
• Optimization of projection count was found to influence the final reconstruction quality.

Conclusions:

• Iterative reconstruction algorithms offer significant advantages for 3D terahertz computed tomography.
• The findings highlight the potential of optimized TCT methods for practical applications.
• Further research can focus on refining these algorithms for enhanced 3D imaging.