Paper
12 April 1995 Miniature spectrometer and multispectral imager as a potential diagnostic aid in dermatology
Haishan Zeng, Calum E. MacAulay, David I. McLean M.D., Harvey Lui M.D., Branko Palcic
Author Affiliations +
Abstract
A miniature spectrometer system has been constructed for both reflectance and autofluorescence spectral measurements of skin. The system is based on PC plug-in spectrometer, therefore, it is miniature and easy to operate. The spectrometer has been used clinically to collect spectral data from various skin lesions including skin cancer. To date, 48 patients with a total of 71 diseased skin sites have been measured. Analysis of these preliminary data suggests that unique spectral characteristics exist for certain types of skin lesions, i.e. seborrheic keratosis, psoriasis, etc.. These spectral characteristics will help the differential diagnosis in Dermatology practice. In conjunction with the spectral point measurements, we are building and testing a multispectral imaging system to measure the spatial distribution of skin reflectance and autofluorescence. Preliminary results indicate that a cutaneous squamous cell carcinoma has a weak autofluorescence signal at the edge of the lesion, but a higher autofluorescence signal in the central area.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haishan Zeng, Calum E. MacAulay, David I. McLean M.D., Harvey Lui M.D., and Branko Palcic "Miniature spectrometer and multispectral imager as a potential diagnostic aid in dermatology", Proc. SPIE 2387, Advances in Laser and Light Spectroscopy to Diagnose Cancer and Other Diseases II, (12 April 1995); https://doi.org/10.1117/12.206836
Lens.org Logo
CITATIONS
Cited by 13 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Skin

Spectroscopy

Imaging systems

Reflectivity

Dermatology

Diagnostics

Imaging spectroscopy

Back to Top