Hyperspectral imaging for melanoma screening

Justus F. Ilgner, Guillermo J. Tearney, Kenton Gregory

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article number892611
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume8926
DOIs
StatePublished - 2014
Externally publishedYes

Fingerprint

Hyperspectral Imaging
Melanoma
Skin
Screening
screening
Wavelength
cancer
wavelengths
Cancer
Imaging System
Imaging systems
Specificity
Diagnostics
sensitivity
Series
Hyperspectral imaging
Form

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Hyperspectral imaging for melanoma screening. / Ilgner, Justus F.; Tearney, Guillermo J.; Gregory, Kenton.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8926, 892611, 2014.

Research output: Contribution to journalArticle

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