Laser-induced breakdown spectroscopy: a tool for real-time, in vitro and in vivo identification of carious teeth.
Identifieur interne : 000510 ( Main/Exploration ); précédent : 000509; suivant : 000511Laser-induced breakdown spectroscopy: a tool for real-time, in vitro and in vivo identification of carious teeth.
Auteurs : Ota Samek [République tchèque] ; Helmut H. Telle ; David Cs BeddowsSource :
- BMC oral health [ 1472-6831 ] ; 2001.
Abstract
BACKGROUND: Laser Induced Breakdown Spectroscopy (LIBS) can be used to measure trace element concentrations in solids, liquids and gases, with spatial resolution and absolute quantifaction being feasible, down to parts-per-million concentration levels. Some applications of LIBS do not necessarily require exact, quantitative measurements. These include applications in dentistry, which are of a more "identify-and-sort" nature - e.g. identification of teeth affected by caries. METHODS: A one-fibre light delivery / collection assembly for LIBS analysis was used, which in principle lends itself for routine in vitro / in vivo applications in a dental practice. A number of evaluation algorithms for LIBS data can be used to assess the similarity of a spectrum, measured at specific sample locations, with a training set of reference spectra. Here, the description has been restricted to one pattern recognition algorithm, namely the so-called Mahalanobis Distance method. RESULTS: The plasma created when the laser pulse ablates the sample (in vitro / in vivo), was spectrally analysed. We demonstrated that, using the Mahalanobis Distance pattern recognition algorithm, we could unambiguously determine the identity of an "unknown" tooth sample in real time. Based on single spectra obtained from the sample, the transition from caries-affected to healthy tooth material could be distinguished, with high spatial resolution. CONCLUSIONS: The combination of LIBS and pattern recognition algorithms provides a potentially useful tool for dentists for fast material identification problems, such as for example the precise control of the laser drilling / cleaning process.
DOI: 10.1186/1472-6831-1-1
PubMed: 11801201
PubMed Central: PMC64785
Affiliations:
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Telle</name></author><author><name sortKey="Beddows, David Cs" sort="Beddows, David Cs" uniqKey="Beddows D" first="David Cs" last="Beddows">David Cs Beddows</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2001">2001</date><idno type="RBID">pubmed:11801201</idno><idno type="pmid">11801201</idno><idno type="pmc">PMC64785</idno><idno type="doi">10.1186/1472-6831-1-1</idno><idno type="wicri:Area/Main/Corpus">000503</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000503</idno><idno type="wicri:Area/Main/Curation">000503</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000503</idno><idno type="wicri:Area/Main/Exploration">000503</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Laser-induced breakdown spectroscopy: a tool for real-time, in vitro and in vivo identification of carious teeth.</title><author><name sortKey="Samek, Ota" sort="Samek, Ota" uniqKey="Samek O" first="Ota" last="Samek">Ota Samek</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Physical Engineering, Technical University Brno, Technická 2, 616 69 Brno, Czech Republic. samek@ufi.fme.vutbr.cz</nlm:affiliation><country xml:lang="fr">République tchèque</country><wicri:regionArea>Institute of Physical Engineering, Technical University Brno, Technická 2, 616 69 Brno</wicri:regionArea><wicri:noRegion>616 69 Brno</wicri:noRegion></affiliation></author><author><name sortKey="Telle, Helmut H" sort="Telle, Helmut H" uniqKey="Telle H" first="Helmut H" last="Telle">Helmut H. Telle</name></author><author><name sortKey="Beddows, David Cs" sort="Beddows, David Cs" uniqKey="Beddows D" first="David Cs" last="Beddows">David Cs Beddows</name></author></analytic><series><title level="j">BMC oral health</title><idno type="eISSN">1472-6831</idno><imprint><date when="2001" type="published">2001</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">BACKGROUND: Laser Induced Breakdown Spectroscopy (LIBS) can be used to measure trace element concentrations in solids, liquids and gases, with spatial resolution and absolute quantifaction being feasible, down to parts-per-million concentration levels. Some applications of LIBS do not necessarily require exact, quantitative measurements. These include applications in dentistry, which are of a more "identify-and-sort" nature - e.g. identification of teeth affected by caries. METHODS: A one-fibre light delivery / collection assembly for LIBS analysis was used, which in principle lends itself for routine in vitro / in vivo applications in a dental practice. A number of evaluation algorithms for LIBS data can be used to assess the similarity of a spectrum, measured at specific sample locations, with a training set of reference spectra. Here, the description has been restricted to one pattern recognition algorithm, namely the so-called Mahalanobis Distance method. RESULTS: The plasma created when the laser pulse ablates the sample (in vitro / in vivo), was spectrally analysed. We demonstrated that, using the Mahalanobis Distance pattern recognition algorithm, we could unambiguously determine the identity of an "unknown" tooth sample in real time. Based on single spectra obtained from the sample, the transition from caries-affected to healthy tooth material could be distinguished, with high spatial resolution. CONCLUSIONS: The combination of LIBS and pattern recognition algorithms provides a potentially useful tool for dentists for fast material identification problems, such as for example the precise control of the laser drilling / cleaning process.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">11801201</PMID><DateRevised><Year>2019</Year><Month>11</Month><Day>20</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1472-6831</ISSN><JournalIssue CitedMedium="Internet"><Volume>1</Volume><Issue>1</Issue><PubDate><Year>2001</Year></PubDate></JournalIssue><Title>BMC oral health</Title><ISOAbbreviation>BMC Oral Health</ISOAbbreviation></Journal><ArticleTitle>Laser-induced breakdown spectroscopy: a tool for real-time, in vitro and in vivo identification of carious teeth.</ArticleTitle><Pagination><MedlinePgn>1</MedlinePgn></Pagination><Abstract><AbstractText>BACKGROUND: Laser Induced Breakdown Spectroscopy (LIBS) can be used to measure trace element concentrations in solids, liquids and gases, with spatial resolution and absolute quantifaction being feasible, down to parts-per-million concentration levels. Some applications of LIBS do not necessarily require exact, quantitative measurements. These include applications in dentistry, which are of a more "identify-and-sort" nature - e.g. identification of teeth affected by caries. METHODS: A one-fibre light delivery / collection assembly for LIBS analysis was used, which in principle lends itself for routine in vitro / in vivo applications in a dental practice. A number of evaluation algorithms for LIBS data can be used to assess the similarity of a spectrum, measured at specific sample locations, with a training set of reference spectra. Here, the description has been restricted to one pattern recognition algorithm, namely the so-called Mahalanobis Distance method. RESULTS: The plasma created when the laser pulse ablates the sample (in vitro / in vivo), was spectrally analysed. We demonstrated that, using the Mahalanobis Distance pattern recognition algorithm, we could unambiguously determine the identity of an "unknown" tooth sample in real time. Based on single spectra obtained from the sample, the transition from caries-affected to healthy tooth material could be distinguished, with high spatial resolution. 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Telle</name></noCountry><country name="République tchèque"><noRegion><name sortKey="Samek, Ota" sort="Samek, Ota" uniqKey="Samek O" first="Ota" last="Samek">Ota Samek</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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