Spectral Image Enhancement for the Visualization of Dental Lesions

Fält, Pauli; Hyttinen, Joni; Fauch, Laure; Riepponen, Anni; Kullaa, Arja; Hauta-Kasari, Markku

doi:10.1007/978-3-319-94211-7_53

Cited by 8 publications

(7 citation statements)

References 6 publications

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“…50 In the University of Eastern Finland there are currently research projects to develop digital imaging and digital histological staining techniques for oral tissues (teeth, oral mucosa, alveolar bone), using spectral imaging. 51,52…”

Section: Digital Transillumination and Spectral Imagingmentioning

confidence: 99%

e-Oral Health and Teledentistry in Finland - an Overview

Palander

Holopainen²,

Rantamo

2019

J Int Soc Telemed eHealth

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Despite universal health coverage and a strong public health system, the oral health profile of Finland falls behind in an international age-matched prevalence of oral diseases. The oral healthcare system is organised and funded mainly by municipalities. Other stakeholders include the Finnish Student Health Service foundation (FSHS), government and private practices, where the Social Insurance Institution of Finland plays a major role in funding. Rise in the treatment need in recent years due to the increasing dentulous ageing population has challenged the healthcare system. Governmental response to the demand is an ongoing social and healthcare reform and increase of oral health professional education since 2004. However, the current and future treatment need is not met only by conventional prevention strategies and physical service provision. Finland has over the years supported a determined policy of building a digital healthcare architecture. This applies also to all fields of oral healthcare: virtual education, digital diagnostics, digital clinical workflow, national electronic patient records, patient-generated data registers, electronic prescriptions, remote consultation, digital service management, as well as research and big data mining. These tools could play an important role in improving national oral health and increasing equity. This is an overview of the above-mentioned fields of e-Oral health and teledentistry in Finland based on current scientific literature, national reports, strategies and legislation. Conflict of interest.Anni Palander has worked part time in CSIBIOMED and ODA projects. Arto Holopainen has worked part time for ODA, ISAACUS and MOMEDA teleradiology projects. Tiina Rantamo works part time for VIRSU project.

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Section: Digital Transillumination and Spectral Imagingmentioning

confidence: 99%

e-Oral Health and Teledentistry in Finland - an Overview

Palander

Holopainen²,

Rantamo

2019

J Int Soc Telemed eHealth

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“…Successful data-analysis can allow the design of optimized optical imaging solutions for targeted diagnostic analyses. In the simplest cases, spectral images can be used to design systems that enhance the visibility of a targeted feature, for example, by applying different weights on the bands while computing a color image representation [7], or by optimizing contrast to produce optimal optical filters [8,9]. The selected spectra could also be used in training targeted diagnostic imaging systems, like spectral filter array cameras [10], or in automatic diagnostic image segmentation based on deep learning [11].…”

Section: Introductionmentioning

confidence: 99%

Oral and Dental Spectral Image Database—ODSI-DB

et al. 2020

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The most common imaging methods used in dentistry are X-ray imaging and RGB color photography. However, both imaging methods provide only a limited amount of information on the wavelength-dependent optical properties of the hard and soft tissues in the mouth. Spectral imaging, on the other hand, provides significantly more information on the medically relevant dental and oral features (e.g. caries, calculus, and gingivitis). Due to this, we constructed a spectral imaging setup and acquired 316 oral and dental reflectance spectral images, 215 of which are annotated by medical experts, of 30 human test subjects. Spectral images of the subjects’ faces and other areas of interest were captured, along with other medically relevant information (e.g., pulse and blood pressure). We collected these oral, dental, and face spectral images, their annotations and metadata into a publicly available database that we describe in this paper. This oral and dental spectral image database (ODSI-DB) provides a vast amount of data that can be used for developing, e.g., pattern recognition and machine vision applications for dentistry.

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“…Individual spectral band images of a hyperspectral image may also show improved visibility of features-of-interest which allows optimal wavelength band selection for designing feature-specific imaging systems (e.g., narrowband imaging [6,7] and burn depth assessment [8]). Furthermore, numerical optimization and data analysis methods can be used on spectral images to find combinations of different spectral bands that improve the visibility of certain features, allowing the design of optimal spectral transmittances for optical filters and optimal spectral power distributions for light sources [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…in [9]) due to larger intensity range (positive and negative ranges vs. positive only). While the simple computational approach in [10] could offer useful partially negative filters, the proposed weights would require very narrow spikes for positive and negative parts rendering optical implementation infeasible. Filters derived from lower-order principal components have relatively simple spectral shape and are easily implemented.…”

Section: Introductionmentioning

confidence: 99%

Optical implementation of partially negative filters using a spectrally tunable light source, and its application to contrast enhanced oral and dental imaging

et al. 2019

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In optical imaging, optical filters can be used to enhance the visibility of featuresof-interest and thus aid in visualization. Optical filter design based on hyperspectral imaging employs various statistical methods to find an optimal design. Some methods, like principal component analysis, produce vectors that can be interpreted as filters that have a partially negative transmission spectrum. These filters, however, are not directly implementable optically. Earlier implementations of partially negative filters have concentrated on spectral reconstruction. Here we show a novel method for implementing partially negative optical filters for contrast-enhancement purposes in imaging applications. We describe the method and its requirements, and show its feasibility with color chart and dental imaging examples. The results are promising: visual comparison of computational color chart render and optical measurement show matching images, and visual inspection of dental images show increased contrast.

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Spectral Image Enhancement for the Visualization of Dental Lesions

Cited by 8 publications

References 6 publications

e-Oral Health and Teledentistry in Finland - an Overview

e-Oral Health and Teledentistry in Finland - an Overview

Oral and Dental Spectral Image Database—ODSI-DB

Optical implementation of partially negative filters using a spectrally tunable light source, and its application to contrast enhanced oral and dental imaging

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