Confocal laser feedback tomography for skin cancer detection

Area of Science:

• Biomedical Optics
• Medical Imaging
• Dermatology

Background:

• Soft tissue tomographic imaging, particularly for skin cancer detection, is an area of significant research interest.
• Infrared wavelengths offer good penetration for imaging subsurface tissue structures.
• Confocal approaches utilizing laser feedback interferometry present a viable method for detailed imaging.

Purpose of the Study:

• To develop and validate a compact laser-based tomographic imaging system for skin cancer detection.
• To assess the system's capability in discriminating between healthy tissue, tumors, and different cancer types.
• To model the optical properties of keratinocyte cancers for improved imaging.

Main Methods:

• A compact system employing a semiconductor laser as both transmitter and receiver was developed.
• Numerical and physical models were created based on the optical properties of keratinocyte cancers.
• The technique was validated using phantoms with macro-structural changes in optical properties.

Main Results:

• Experimental results aligned with numerical simulations, demonstrating the system's accuracy.
• The imaging technique successfully identified structural changes indicative of cancerous tissue.
• Discrimination between healthy tissue and tumors was achievable.
• Visualization of different cancer types was also demonstrated.

Conclusions:

• The developed laser feedback interferometry system shows promise for non-invasive skin cancer detection.
• The technique's ability to differentiate tissue types and cancer subtypes offers potential for improved diagnostics.
• Further research may lead to clinical applications in dermatology and oncology.