Fast localization method of an anomaly in tissue based on differential optical density

Area of Science:

• Biomedical Optics
• Medical Imaging
• Spectroscopy

Background:

• Source-detector positioning is critical for effective anomaly detection in near-infrared spectroscopy (NIRS).
• Current NIRS methods require precise positioning for accurate non-invasive tissue analysis.

Purpose of the Study:

• To develop a rapid anomaly localization method using a single-source, multi-detector NIRS setup.
• To enhance detection accuracy in NIRS applications like tumor detection and brain imaging.

Main Methods:

• Utilized finite element analysis to simulate optical density distribution for various anomaly parameters (position, depth, diameter).
• Calculated differential optical density between multiple detectors to identify anomaly characteristics.
• Employed Gaussian fitting on differential optical density curves for correlation analysis.

Main Results:

• Demonstrated that differential optical density curves accurately reflect anomaly horizontal positions.
• Showcased a strong correlation between Gaussian fitting features and anomaly horizontal positions, depths, and diameters.
• Confirmed rapid localization of anomalies within the region of interest.

Conclusions:

• The single-source, multi-detector NIRS approach enables swift and accurate anomaly localization in biological tissues.
• This method offers a valuable reference for optimizing source-detector placement in NIRS-based medical diagnostics.
• Improved detection accuracy and localization capabilities for NIRS applications are achievable.