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Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery

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Tissue phantom-based breast cancer detection using continuous near-infrared sensor.

Dan Liu¹, Xin Liu¹, Yan Zhang¹

¹a Harbin Institute of Technology, School of Electrical Engineering & Automation , Harbin , China.

|July 27, 2016

Summary

Near-infrared Spectroscopy (NIRS) offers a cheap, noninvasive method for breast cancer detection. This study demonstrates NIRS

Keywords:

Lambert-Beer theory blood oxygen breast cancer near-infrared

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Area of Science:

Biomedical Optics
Medical Imaging
Women's Health

Background:

Breast cancer poses a significant threat to women's health.
Early and accurate diagnosis is crucial for improving patient outcomes.
Noninvasive, cost-effective diagnostic tools are needed for widespread breast cancer screening.

Purpose of the Study:

To present a novel breast cancer discrimination method using Near-infrared Spectroscopy (NIRS).
To develop a blood oxygen detection device for quantitative breast tissue analysis.
To assess the feasibility of NIRS for objective breast tumor judgment.

Main Methods:

Utilized Modified Lambert-Beer theory for blood oxygen detection.
Employed multi-wavelength, multi-path near-infrared sensing technology.
Measured absorption coefficients and blood oxygen saturation in breast tissue.
Validated the method using phantom experiments to detect absorption differences.

Main Results:

The developed NIRS method can quantitatively distinguish normal from abnormal breast tissue.
High absorption of near-infrared light by tumors was identified as a key indicator.
Phantom experiments confirmed the method's ability to recognize absorption variations.
Demonstrated the feasibility of NIRS for breast tumor detection.

Conclusions:

Near-infrared Spectroscopy provides a viable, noninvasive, and radiation-free approach for breast cancer examination.
The proposed method enables objective judgment of breast tumors based on optical properties.
This technology holds promise for improving early detection and management of breast cancer.