Non-invasive caries detection and delineation via novel laser-induced fluorescence with hyperspectral imaging

El-Sharkawy, Yasser H.; Elbasuney, Sherif

doi:10.1016/j.pdpdt.2022.103186

Cited by 5 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Laser fluorescence (LF) is a noninvasive device used to detect caries lesions and estimate their depth by exposing the tooth to a non-ionizing laser [31]. It consists of a tip that emits monochromatic red light at 655 nm wavelength and a sensor to detect the backscattered fluorescence from the examined tooth and produce a two-dimensional hyperspectral image (Figure 7) [6,31]. Carious teeth generate fluorescence proportional to the degree of caries, whereas clean and healthy teeth produce no or little fluorescence.…”

Section: Laser Fluorescencementioning

confidence: 99%

Different Modalities in Caries Detection and Diagnosis

Muhammad Alqussier

2024

Dental Caries Perspectives - A Collection of Thoughtful Essays

View full text Add to dashboard Cite

Dental caries is the most common chronic disease affecting humans worldwide. Early diagnosis of dental caries lesions allows more conservative treatment options to be followed. This may positively affect the prognosis of the condition and longevity of dental restorations. The optimum diagnosis approach should be used for better management of caries lesions. This chapter discusses several caries diagnostic modalities and systems, such as visual-tactile examination, dental radiography, transillumination-based devices, electronic caries monitors, fluorescence-based devices, and others. Furthermore, different diagnostic approaches for detecting caries lesions around different dental restorations are reviewed at the end of this chapter. Proper selection and manipulation of diagnostic tools help to enhance the outcome of dental examination. Examination should be done in clean and dry teeth for proper examination.

show abstract

Section: Laser Fluorescencementioning

confidence: 99%

Different Modalities in Caries Detection and Diagnosis

Muhammad Alqussier

2024

Dental Caries Perspectives - A Collection of Thoughtful Essays

View full text Add to dashboard Cite

show abstract

“…Meanwhile, EEM, which not only provides rich spectral information but also enables nondestructive detection of microalgal bioconcentrations, has been widely used in recent years [11][12][13]. However, this method requires presetting the initial excitation wavelength and emission wavelength, so there is still room for improvement in terms of rapidity LIFT has been widely used in biomedicine [14], environmental protection [15], and other fields because of its ease of operation and rapidity, and have been gradually introduced into the field of chemical analysis in recent years, for example Adarsh presented four methods including laser-induced fluorescence spectroscopy for the classification of plastics [16], Qiao et al proposed to extract phosphorus from aqueous solution using an iron-modified resin YZS60 and to detect phosphorus in combination with LIFS [17], Chen et al Proposed laser-induced fluorescence technique for data acquisition of olive oil, followed by classification using a specific onedimensional convolutional neural network (1D-CNN) mode [18]. As a result, LIFT enables efficient and non-destructive rapid detection of microalgae concentrations.…”

Section: Introductionmentioning

confidence: 99%

The rapid detection method of brown tide algae concentration based on unthresholded recurrence plots and improved broad learning system

Chen,

Dong,

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

In recent years, there have been frequent outbreaks of harmful algal blooms (HAB) in coastal areas, which have caused serious economic losses to the local community. Therefore, accurate and rapid prediction of microalgal concentrations is necessary for early warning and countermeasures before the occurrence of HAB. This paper presents a model for predicting microalgae concentration based on unthresholded recurrence plots (UTRPs) combined with an improved broad learning system (BLS). Spectral data acquisition of algae species at different concentrations using l-induced fluorescence spectroscopy. Then, the 1D spectral data are dimensionally lifted by UTRPs transformation, recurrence plots (RPs) transformation can fully extract the internal information of 1D sequence data, and at the same time, UTRPs avoids the influence of artificially selected thresholds on the feature transformation results of traditional (RPs). Finally, a lightweight flat network BLS was used for microalgae concentration regression prediction, at the same time the BLS regularization method was improved. When comparing the two most commonly used deep learning regression models and integrated learning models, UTRPs and elastic net (UTRPs-ENBLS) achieves convincing results.

show abstract

“…The introduction of digital into clinical practice can provide an additional tool, not only for dental impressions and orthodontic or implant treatment planning, but also for diagnosing structural and functional disorders directly at the chairside, easing the clinical workflow for both the clinician and patient. It is evident that the introduction of tools based on optical principles is also becoming increasingly prevalent in diagnostics [16][17][18], as reliable quantitative results are sought to support clinical decision-making.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Applications of Intraoral Scanners: A Systematic Review

et al. 2023

View full text Add to dashboard Cite

In addition to their recognized value for obtaining 3D digital dental models, intraoral scanners (IOSs) have recently been proven to be promising tools for oral health diagnostics. In this work, the most recent literature on IOSs was reviewed with a focus on their applications as detection systems of oral cavity pathologies. Those applications of IOSs falling in the general area of detection systems for oral health diagnostics (e.g., caries, dental wear, periodontal diseases, oral cancer) were included, while excluding those works mainly focused on 3D dental model reconstruction for implantology, orthodontics, or prosthodontics. Three major scientific databases, namely Scopus, PubMed, and Web of Science, were searched and explored by three independent reviewers. The synthesis and analysis of the studies was carried out by considering the type and technical features of the IOS, the study objectives, and the specific diagnostic applications. From the synthesis of the twenty-five included studies, the main diagnostic fields where IOS technology applies were highlighted, ranging from the detection of tooth wear and caries to the diagnosis of plaques, periodontal defects, and other complications. This shows how additional diagnostic information can be obtained by combining the IOS technology with other radiographic techniques. Despite some promising results, the clinical evidence regarding the use of IOSs as oral health probes is still limited, and further efforts are needed to validate the diagnostic potential of IOSs over conventional tools.

show abstract

Non-invasive caries detection and delineation via novel laser-induced fluorescence with hyperspectral imaging

Cited by 5 publications

References 21 publications

Different Modalities in Caries Detection and Diagnosis

Different Modalities in Caries Detection and Diagnosis

The rapid detection method of brown tide algae concentration based on unthresholded recurrence plots and improved broad learning system

Diagnostic Applications of Intraoral Scanners: A Systematic Review

Contact Info

Product

Resources

About