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Proceedings Paper

Hyperspectral laser-induced autofluorescence imaging of dental caries
Author(s): Miran Bürmen; Aleš Fidler; Franjo Pernuš; Boštjan Likar
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Paper Abstract

Dental caries is a disease characterized by demineralization of enamel crystals leading to the penetration of bacteria into the dentine and pulp. Early detection of enamel demineralization resulting in increased enamel porosity, commonly known as white spots, is a difficult diagnostic task. Laser induced autofluorescence was shown to be a useful method for early detection of demineralization. The existing studies involved either a single point spectroscopic measurements or imaging at a single spectral band. In the case of spectroscopic measurements, very little or no spatial information is acquired and the measured autofluorescence signal strongly depends on the position and orientation of the probe. On the other hand, single-band spectral imaging can be substantially affected by local spectral artefacts. Such effects can significantly interfere with automated methods for detection of early caries lesions. In contrast, hyperspectral imaging effectively combines the spatial information of imaging methods with the spectral information of spectroscopic methods providing excellent basis for development of robust and reliable algorithms for automated classification and analysis of hard dental tissues. In this paper, we employ 405 nm laser excitation of natural caries lesions. The fluorescence signal is acquired by a state-of-the-art hyperspectral imaging system consisting of a high-resolution acousto-optic tunable filter (AOTF) and a highly sensitive Scientific CMOS camera in the spectral range from 550 nm to 800 nm. The results are compared to the contrast obtained by near-infrared hyperspectral imaging technique employed in the existing studies on early detection of dental caries.

Paper Details

Date Published: 30 January 2012
PDF: 8 pages
Proc. SPIE 8208, Lasers in Dentistry XVIII, 82080E (30 January 2012); doi: 10.1117/12.908670
Show Author Affiliations
Miran Bürmen, Univ. of Ljubljana (Slovenia)
Aleš Fidler, Univ. of Ljubljana (Slovenia)
Franjo Pernuš, Univ. of Ljubljana (Slovenia)
Sensum, Computer Vision Systems (Slovenia)
Boštjan Likar, Univ. of Ljubljana (Slovenia)
Sensum, Computer Vision Systems (Slovenia)


Published in SPIE Proceedings Vol. 8208:
Lasers in Dentistry XVIII
Peter Rechmann; Daniel Fried, Editor(s)

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