Hyperspectral imaging for melanoma screening

Justin Martin; James Krueger; Daniel Gareau

doi:10.1117/12.2040396

4 March 2014 Hyperspectral imaging for melanoma screening

Justin Martin, James Krueger, Daniel Gareau

Proceedings Volume 8926, Photonic Therapeutics and Diagnostics X; 892611 (2014) https://doi.org/10.1117/12.2040396
Event: SPIE BiOS, 2014, San Francisco, California, United States

Abstract

The 5-year survival rate for patients diagnosed with Melanoma, a deadly form of skin cancer, in its latest stages is about 15%, compared to over 90% for early detection and treatment. We present an imaging system and algorithm that can be used to automatically generate a melanoma risk score to aid clinicians in the early identification of this form of skin cancer. Our system images the patient's skin at a series of different wavelengths and then analyzes several key dermoscopic features to generate this risk score. We have found that shorter wavelengths of light are sensitive to information in the superficial areas of the skin while longer wavelengths can be used to gather information at greater depths. This accompanying diagnostic computer algorithm has demonstrated much higher sensitivity and specificity than the currently commercialized system in preliminary trials and has the potential to improve the early detection of melanoma.

Citation Download Citation

Justin Martin, James Krueger, and Daniel Gareau "Hyperspectral imaging for melanoma screening", Proc. SPIE 8926, Photonic Therapeutics and Diagnostics X, 892611 (4 March 2014); https://doi.org/10.1117/12.2040396

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