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Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

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Optimization for continuous-wave terahertz reflection imaging for biological tissues.

Limin Wu^1,2, Yuye Wang^1,2, Haibin Li^1,2

¹Institute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronic Engineering, Tianjin University, Tianjin, China.

Journal of Biophotonics

|September 23, 2021

Summary

This summary is machine-generated.

Continuous-wave terahertz reflection imaging shows promise for biological tissues. P-polarized waves and optimized reflection windows enhance imaging performance, aiding THz imaging applications.

Keywords:

THz reflection imaging technology biological tissues detection continuous-wave terahertz imaging imaging performance

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Area of Science:

Biomedical Optics
Terahertz Imaging Technology
Photonics

Background:

Continuous-wave terahertz (THz) reflection imaging is an emerging technique for non-invasive analysis of biological tissues.
Optimizing imaging parameters is crucial for enhancing the resolution and contrast of THz images.
Understanding the influence of polarization and reflection geometry is key to improving system performance.

Purpose of the Study:

To investigate the impact of polarization modes and reflection window selection on the performance of continuous-wave terahertz reflection imaging.
To establish criteria for optimizing imaging parameters for biological tissue analysis.
To enhance the practical applicability of THz imaging in biological and medical fields.

Main Methods:

Theoretical modeling and experimental validation of a home-made continuous-wave terahertz reflection imaging system.
Systematic evaluation of imaging performance using different polarization modes (e.g., p-polarized waves).
Development and application of selection criteria for the reflection window based on sample information, image contrast, and boundary identification.

Main Results:

Theoretical and experimental results demonstrated good agreement regarding the effects of polarization and reflection window.
P-polarized terahertz waves were identified as optimal for obtaining detailed sample information and achieving high image contrast.
Specific selection criteria for the reflection window were proposed, improving sample boundary identification and overall image quality.

Conclusions:

The study provides valuable insights into optimizing continuous-wave terahertz reflection imaging for biological applications.
The recommended use of p-polarized waves and defined reflection window criteria can significantly improve imaging performance.
This work facilitates the advancement and broader adoption of terahertz imaging in biological and medical diagnostics.