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Low-frequency noise effect on terahertz tomography using thermal detectors
Applied Optics
|September 15, 2015
Summary
Low-frequency noise significantly impacts terahertz-computed tomography (THz-CT) 3D reconstructions. This study quantifies noise effects and proposes experimental methods to improve THz-CT image quality and accuracy.
Area of Science:
- Physics
- Imaging Science
- Electrical Engineering
Background:
- Terahertz-computed tomography (THz-CT) is a developing imaging technique.
- Low-frequency noise is a known artifact in tomographic imaging systems.
- Understanding noise impact is crucial for accurate THz-CT reconstructions.
Purpose of the Study:
- To analyze the impact of low-frequency noise on THz-CT imaging.
- To quantify noise characteristics using different acquisition methods.
- To propose optimized experimental methodologies for improved THz-CT reconstructions.
Main Methods:
- Acquiring real noise data from a continuous millimeter-wave tomographic scanner.
- Extrapolating sinograms with varying noise backgrounds from experimental data.
- Reconstructing spatial distributions using a CT algorithm to analyze noise influence.
- Characterizing the low-frequency noise fingerprint.
Main Results:
- Low-frequency noise significantly affects the quality and accuracy of 3D THz-CT reconstructions.
- Specific experimental configurations can exacerbate noise-induced artifacts.
- Noise characteristics were quantified and their influence on reconstructed images described.
Conclusions:
- Experimental choices critically influence 3D rendering in THz-CT.
- Optimized experimental methodologies can mitigate low-frequency noise effects.
- This research provides guidelines for enhancing THz-CT image fidelity.
