Pre- and post-processing for tomographic reconstruction of terahertz time-domain spectroscopy

Area of Science:

• Physics
• Imaging Science

Background:

• Terahertz tomography using time-domain spectroscopy is a valuable imaging technique.
• Simple reconstruction methods are insufficient due to varying terahertz ray velocities in different media.

Purpose of the Study:

• To develop and demonstrate a pre-processing method to compensate for terahertz ray velocity variations.
• To enhance the accuracy and visualization of reflection-type terahertz tomography.

Main Methods:

• Reflection-type terahertz tomography utilizing time-domain spectroscopy.
• A novel pre-processing algorithm to correct for velocity dispersion.
• Post-processing techniques including Maximum Intensity Projection, averaging, and Short-Time Fourier Transform.
• Log-scale display for improved visualization.

Main Results:

• The proposed pre-processing method effectively compensates for velocity differences.
• Post-processing techniques enhance the clarity and interpretability of tomographic data.
• Experimental results validate the efficacy of the developed pre- and post-processing strategies.

Conclusions:

• The presented approach significantly improves the quality of terahertz tomographic reconstructions.
• This method offers a more accurate and visually informative way to analyze terahertz tomographic data.