Classification of dental diseases using hyperspectral imaging and laser induced fluorescence

•Employing Fluorescence hyperspectral imaging system to discriminate between tooth classes.•Obtaining series of wavelengths, noting each lesion individually.•Tooth lesions have either dark or bright appearance at estimated wavelengths.•New laser wavelength 395-nm was able to identify white spot and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Photodiagnosis and photodynamic therapy 2019-03, Vol.25, p.128-135
Hauptverfasser: Abdel Gawad, Ahmed L., El-Sharkawy, Yasser, Ayoub, H.S., El-Sherif, Ashraf F., Hassan, Mahmoud F.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 135
container_issue
container_start_page 128
container_title Photodiagnosis and photodynamic therapy
container_volume 25
creator Abdel Gawad, Ahmed L.
El-Sharkawy, Yasser
Ayoub, H.S.
El-Sherif, Ashraf F.
Hassan, Mahmoud F.
description •Employing Fluorescence hyperspectral imaging system to discriminate between tooth classes.•Obtaining series of wavelengths, noting each lesion individually.•Tooth lesions have either dark or bright appearance at estimated wavelengths.•New laser wavelength 395-nm was able to identify white spot and root calculus. 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. 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. 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. 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.
doi_str_mv 10.1016/j.pdpdt.2018.11.017
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2149025524</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1572100018302588</els_id><sourcerecordid>2149025524</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-cdc15364292c0edc49638dae630fab0651bdf0243e4c0e83efae62839458bfc33</originalsourceid><addsrcrecordid>eNp9kEtPwzAQhC0EoqXwC5BQjlwS1nGcx4EDqnhJlbjADcly7HVxlSbBTpD673Fo4cjJlmd21vMRckkhoUDzm03S614PSQq0TChNgBZHZE7LgsWUV8VxuPMijSkAzMiZ9xsAllWQnZIZAw6QFzAn78tGem-NVXKwXRt1JtLYDrKJtPUoPfpo9LZdRx-7Hp3vUQ0uiHYr19OrbHUUAtBFttWjQh2ZZuwceoWtwnNyYmTj8eJwLsjbw_3r8ilevTw-L-9WsWK8GmKlFeUsz9IqVYBaZVXOSi0xZ2BkDTmntTaQZgyzoJcMTdDSklUZL2ujGFuQ631u77rPEf0gtjb8oGlki93oRUpD75TzELEgbG9VrvPeoRG9C2XcTlAQE1axET9YxYRVUCoC1jB1dVgw1lvUfzO_HIPhdm_AUPPLohNe2QmBti4gE7qz_y74BiRii4g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2149025524</pqid></control><display><type>article</type><title>Classification of dental diseases using hyperspectral imaging and laser induced fluorescence</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Abdel Gawad, Ahmed L. ; El-Sharkawy, Yasser ; Ayoub, H.S. ; El-Sherif, Ashraf F. ; Hassan, Mahmoud F.</creator><creatorcontrib>Abdel Gawad, Ahmed L. ; El-Sharkawy, Yasser ; Ayoub, H.S. ; El-Sherif, Ashraf F. ; Hassan, Mahmoud F.</creatorcontrib><description>•Employing Fluorescence hyperspectral imaging system to discriminate between tooth classes.•Obtaining series of wavelengths, noting each lesion individually.•Tooth lesions have either dark or bright appearance at estimated wavelengths.•New laser wavelength 395-nm was able to identify white spot and root calculus. 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. 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. 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. 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.</description><identifier>ISSN: 1572-1000</identifier><identifier>EISSN: 1873-1597</identifier><identifier>DOI: 10.1016/j.pdpdt.2018.11.017</identifier><identifier>PMID: 30500670</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Algorithms ; Caries detection ; Demineralization ; Dental Caries - diagnosis ; Dental Caries - pathology ; Dental Enamel - pathology ; Fluorescence spectroscopy ; Humans ; Hyperspectral imaging ; Image Processing, Computer-Assisted - methods ; Lasers, Semiconductor ; Lesion classification ; Tooth Demineralization - diagnosis ; Tooth Demineralization - pathology</subject><ispartof>Photodiagnosis and photodynamic therapy, 2019-03, Vol.25, p.128-135</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright © 2018 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-cdc15364292c0edc49638dae630fab0651bdf0243e4c0e83efae62839458bfc33</citedby><cites>FETCH-LOGICAL-c359t-cdc15364292c0edc49638dae630fab0651bdf0243e4c0e83efae62839458bfc33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.pdpdt.2018.11.017$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30500670$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abdel Gawad, Ahmed L.</creatorcontrib><creatorcontrib>El-Sharkawy, Yasser</creatorcontrib><creatorcontrib>Ayoub, H.S.</creatorcontrib><creatorcontrib>El-Sherif, Ashraf F.</creatorcontrib><creatorcontrib>Hassan, Mahmoud F.</creatorcontrib><title>Classification of dental diseases using hyperspectral imaging and laser induced fluorescence</title><title>Photodiagnosis and photodynamic therapy</title><addtitle>Photodiagnosis Photodyn Ther</addtitle><description>•Employing Fluorescence hyperspectral imaging system to discriminate between tooth classes.•Obtaining series of wavelengths, noting each lesion individually.•Tooth lesions have either dark or bright appearance at estimated wavelengths.•New laser wavelength 395-nm was able to identify white spot and root calculus. 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. 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. 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. 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.</description><subject>Algorithms</subject><subject>Caries detection</subject><subject>Demineralization</subject><subject>Dental Caries - diagnosis</subject><subject>Dental Caries - pathology</subject><subject>Dental Enamel - pathology</subject><subject>Fluorescence spectroscopy</subject><subject>Humans</subject><subject>Hyperspectral imaging</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Lasers, Semiconductor</subject><subject>Lesion classification</subject><subject>Tooth Demineralization - diagnosis</subject><subject>Tooth Demineralization - pathology</subject><issn>1572-1000</issn><issn>1873-1597</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtPwzAQhC0EoqXwC5BQjlwS1nGcx4EDqnhJlbjADcly7HVxlSbBTpD673Fo4cjJlmd21vMRckkhoUDzm03S614PSQq0TChNgBZHZE7LgsWUV8VxuPMijSkAzMiZ9xsAllWQnZIZAw6QFzAn78tGem-NVXKwXRt1JtLYDrKJtPUoPfpo9LZdRx-7Hp3vUQ0uiHYr19OrbHUUAtBFttWjQh2ZZuwceoWtwnNyYmTj8eJwLsjbw_3r8ilevTw-L-9WsWK8GmKlFeUsz9IqVYBaZVXOSi0xZ2BkDTmntTaQZgyzoJcMTdDSklUZL2ujGFuQ631u77rPEf0gtjb8oGlki93oRUpD75TzELEgbG9VrvPeoRG9C2XcTlAQE1axET9YxYRVUCoC1jB1dVgw1lvUfzO_HIPhdm_AUPPLohNe2QmBti4gE7qz_y74BiRii4g</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Abdel Gawad, Ahmed L.</creator><creator>El-Sharkawy, Yasser</creator><creator>Ayoub, H.S.</creator><creator>El-Sherif, Ashraf F.</creator><creator>Hassan, Mahmoud F.</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201903</creationdate><title>Classification of dental diseases using hyperspectral imaging and laser induced fluorescence</title><author>Abdel Gawad, Ahmed L. ; El-Sharkawy, Yasser ; Ayoub, H.S. ; El-Sherif, Ashraf F. ; Hassan, Mahmoud F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-cdc15364292c0edc49638dae630fab0651bdf0243e4c0e83efae62839458bfc33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Caries detection</topic><topic>Demineralization</topic><topic>Dental Caries - diagnosis</topic><topic>Dental Caries - pathology</topic><topic>Dental Enamel - pathology</topic><topic>Fluorescence spectroscopy</topic><topic>Humans</topic><topic>Hyperspectral imaging</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Lasers, Semiconductor</topic><topic>Lesion classification</topic><topic>Tooth Demineralization - diagnosis</topic><topic>Tooth Demineralization - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abdel Gawad, Ahmed L.</creatorcontrib><creatorcontrib>El-Sharkawy, Yasser</creatorcontrib><creatorcontrib>Ayoub, H.S.</creatorcontrib><creatorcontrib>El-Sherif, Ashraf F.</creatorcontrib><creatorcontrib>Hassan, Mahmoud F.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Photodiagnosis and photodynamic therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abdel Gawad, Ahmed L.</au><au>El-Sharkawy, Yasser</au><au>Ayoub, H.S.</au><au>El-Sherif, Ashraf F.</au><au>Hassan, Mahmoud F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Classification of dental diseases using hyperspectral imaging and laser induced fluorescence</atitle><jtitle>Photodiagnosis and photodynamic therapy</jtitle><addtitle>Photodiagnosis Photodyn Ther</addtitle><date>2019-03</date><risdate>2019</risdate><volume>25</volume><spage>128</spage><epage>135</epage><pages>128-135</pages><issn>1572-1000</issn><eissn>1873-1597</eissn><abstract>•Employing Fluorescence hyperspectral imaging system to discriminate between tooth classes.•Obtaining series of wavelengths, noting each lesion individually.•Tooth lesions have either dark or bright appearance at estimated wavelengths.•New laser wavelength 395-nm was able to identify white spot and root calculus. 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. 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. 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. 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.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>30500670</pmid><doi>10.1016/j.pdpdt.2018.11.017</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1572-1000
ispartof Photodiagnosis and photodynamic therapy, 2019-03, Vol.25, p.128-135
issn 1572-1000
1873-1597
language eng
recordid cdi_proquest_miscellaneous_2149025524
source MEDLINE; ScienceDirect Journals (5 years ago - present)
subjects Algorithms
Caries detection
Demineralization
Dental Caries - diagnosis
Dental Caries - pathology
Dental Enamel - pathology
Fluorescence spectroscopy
Humans
Hyperspectral imaging
Image Processing, Computer-Assisted - methods
Lasers, Semiconductor
Lesion classification
Tooth Demineralization - diagnosis
Tooth Demineralization - pathology
title Classification of dental diseases using hyperspectral imaging and laser induced fluorescence
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T05%3A10%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Classification%20of%20dental%20diseases%20using%20hyperspectral%20imaging%20and%20laser%20induced%20fluorescence&rft.jtitle=Photodiagnosis%20and%20photodynamic%20therapy&rft.au=Abdel%20Gawad,%20Ahmed%20L.&rft.date=2019-03&rft.volume=25&rft.spage=128&rft.epage=135&rft.pages=128-135&rft.issn=1572-1000&rft.eissn=1873-1597&rft_id=info:doi/10.1016/j.pdpdt.2018.11.017&rft_dat=%3Cproquest_cross%3E2149025524%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2149025524&rft_id=info:pmid/30500670&rft_els_id=S1572100018302588&rfr_iscdi=true