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Classification of dental diseases using hyperspectral imaging and laser induced fluorescence.

Abstract：

PURPOSE:Early diagnosis of tooth enamel demineralization, and dentin caries lesions, present a valuable solution to avoid or decrease their deleterious effect. The aim of this study was to design a simple, effective, and non-invasive technique, employing a novel laser wavelength to classify and differentiate between various tooth abnormalities in-vitro, by estimating wavelengths, showing distinctive appearance for each tooth class. METHODS:This study implies a fluorescence hyperspectral imaging system employing a 395-nm laser diode source, irradiating a pre-diagnosed 12 molars and premolars teeth. The obtained reconstructed images were displayed and processed by HSAnalysis2XL, accompanied by a custom made digital, and image signal processing algorithms, revealing the exact wavelengths, characterizing the fluorescence of each tooth pre-diagnosed class. RESULTS:The proposed hyperspectral imaging system was able to discriminate between normal, and abnormal dental classes for the entire specimens. Furthermore, a series of wavelengths, noting each lesion individually were obtained from the spectroscopic hyperspectral output. The root calculus, white spot, dentin caries, and enamel caries have a bright visual appearance at λ3 = 702 nm, λ5 = 771 nm, and λ6 = 798 nm respectively. Consequently, these abnormalities exhibit a dark appearance at λ1 = 421 nm, λ2 = 462 nm, and λ4 = 734 nm. The wavelength selections were confirmed by the grayscale image outcomes. CONCLUSIONS:This study provides a set of wavelengths that can be employed by dentists to diagnose white spot, root calculus, and enamel dentin caries lesions under the irradiation of a new UV-vis laser illumination source without, any hazardous thermal or mechanical effects.

journal_name

Photodiagnosis Photodyn Ther

journal_title

Photodiagnosis and photodynamic therapy

authors

Abdel Gawad AL,El-Sharkawy Y,Ayoub HS,El-Sherif AF,Hassan MF

doi

10.1016/j.pdpdt.2018.11.017

subject

Has Abstract

pub_date

2019-03-01 00:00:00

pages

128-135

eissn

1572-1000

issn

1873-1597

pii

S1572-1000(18)30258-8

journal_volume

25

pub_type

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