Design and implementation of novel hyperspectral imaging for dental carious early detection using laser induced fluorescence

El-Sharkawy, Yasser H.; Elbasuney, Sherif

doi:10.1016/j.pdpdt.2018.10.004

Cited by 13 publications

(4 citation statements)

References 32 publications

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“…An optical methodology, preferably utilising wavelengths in the visible region which avoids affecting the chemical, physical and thermal properties of the exposed sample, is therefore desirable. One group [49] used a hyperspectral imaging system (excitation 488 and 514 nm, emission collected by hyperspectral camera, exact range not defined). Reflectance and autofluorescence imaging were combined and it was found that enamel and dentin carious could be distinguished and characterised at 514 nm, while white spot lesions were distinct at 488 nm.…”

Section: Dentistrymentioning

confidence: 99%

Clinical applications of non‐invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology

Campbell

Mahbub

Habibalahi

et al. 2023

Journal of Biophotonics

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Hyperspectral and multispectral imaging of cell and tissue autofluorescence employs fluorescence imaging, without exogenous fluorophores, across multiple excitation/emission combinations (spectral channels). This produces an image stack where each pixel (matched by location) contains unique information about the sample's spectral properties. Analysis of this data enables access to a rich, molecularly specific data set from a broad range of cell‐native fluorophores (autofluorophores) directly reflective of biochemical status, without use of fixation or stains. This non‐invasive, non‐destructive technology has great potential to spare the collection of biopsies from sensitive regions. As both staining and biopsy may be impossible, or undesirable, depending on the context, this technology great diagnostic potential for clinical decision making. The main research focus has been on the identification of neoplastic tissues. However, advances have been made in diverse applications—including ophthalmology, cardiovascular health, neurology, infection, assisted reproduction technology and organ transplantation.

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Section: Dentistrymentioning

confidence: 99%

Clinical applications of non‐invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology

Campbell

Mahbub

Habibalahi

et al. 2023

Journal of Biophotonics

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“…The intensity of the fluorescence emission in the blue-green range decreased with the increased degree of carious enamel decalcification for the excitation wavelengths given above. The field of this research is still continuing and is the subject of many current scientific articles [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Applications of Laser-Induced Fluorescence in Medicine

Kwaśny

Bombalska

2022

Sensors

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Fluorescence is the most sensitive spectroscopic method of analysis and fluorescence methods. However, classical analysis requires sampling. There are new needs for real-time analyses of biological materials, without the need for sampling. This article presents examples of proprietary applications of laser-induced fluorescence (LIF) in medicine with such methods. A classic example is the analysis of photosensitizers using the photodynamic treatment method (PDT). The level and kinetics of accumulation and excretion of sensitizers in the body are examined, as well as the optimal exposure time after the application of compounds. The LIF method is also used to analyze endogenous fluorophores; it has been used to detect neoplasms, e.g., lung cancer or gynecological and dermatological diseases. Furthermore, it is used for the diagnosis of early stages of tooth decay or detection of fungi. The article will present the construction of sensors based on the LIF method—fiber laser spectrometers and investigated fluorescence spectra in individual applications. Examples of fluorescence imaging, e.g., dermatological, and dental diagnostics and measuring systems will be presented. The advantage of the method is it has greater sensitivity and easily detects lesions early compared to the methods used in observing the material in reflected light.

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“…Based on the differences in optical characteristics between normal tissue and carious lesions, LIF spectroscopy has been employed for the early diagnosis of human carious lesions. The optical system included a visible-band light source, a hyperspectral camera, and a specially developed digital image processing algorithm [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties

2022

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Optical diagnostics methods are significantly appealing in biological applications since they are non-destructive, safe, and minimally invasive. Laser-induced fluorescence is a promising optical spectrochemical analytical technique widely employed for tissue classification through molecular analysis of the studied samples after excitation with appropriate short-wavelength laser light. On the other hand, diffuse optics techniques are used for tissue monitoring and differentiation based on their absorption and scattering characteristics in the red to the near-infrared spectra. Therefore, it is strongly foreseen to obtain promising results by combining these techniques. In the present work, tissues under different conditions (hydrated/dry skin and native/boiled adipose fat) were distinguished according to their fluorescence emission, absorption, and scattering properties. The selected tissues’ optical absorption and scattering parameters were determined via Kubelka–Munk mathematical model according to the experimental tissue reflectance and transmittance measurements. Such measurements were obtained using an optical configuration of integrating sphere and spectrometer at different laser wavelengths (808, 830, and 980 nm). Moreover, the diffusion equation was solved for the fluence rate at the sample surface using the finite element method. Furthermore, the accuracy of the obtained spectroscopic measurements was evaluated using partial least squares regression statistical analysis with 0.87 and 0.89 R-squared values for skin and adipose fat, respectively.

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Design and implementation of novel hyperspectral imaging for dental carious early detection using laser induced fluorescence

Cited by 13 publications

References 32 publications

Clinical applications of non‐invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology

Clinical applications of non‐invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology

Applications of Laser-Induced Fluorescence in Medicine

Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties

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