Method of detecting tissue contact for fiber-optic probes to automate data acquisition without hardware modification
Identifieur interne : 001302 ( Pmc/Curation ); précédent : 001301; suivant : 001303Method of detecting tissue contact for fiber-optic probes to automate data acquisition without hardware modification
Auteurs : Sarah Ruderman [États-Unis] ; Scott Mueller [États-Unis] ; Andrew Gomes [États-Unis] ; Jeremy Rogers [États-Unis] ; Vadim Backman [États-Unis]Source :
- Biomedical Optics Express [ 2156-7085 ] ; 2013.
Abstract
We present a novel algorithm to detect contact with tissue and automate data acquisition. Contact fiber-optic probe systems are useful in noninvasive applications and real-time analysis of tissue properties. However, applications of these technologies are limited to procedures with visualization to ensure probe-tissue contact and individual user techniques can introduce variability. The software design exploits the system previously designed by our group as an optical method to automatically detect tissue contact and trigger acquisition. This method detected tissue contact with 91% accuracy, detected removal from tissue with 83% accuracy and reduced user variability by > 8%. Without the need for additional hardware, this software algorithm can easily integrate into any fiber-optic system and expands applications where visualization is difficult.
Url:
DOI: 10.1364/BOE.4.001401
PubMed: 24010002
PubMed Central: 3756576
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Evanston, IL 60208,<country>USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author></analytic><series><title level="j">Biomedical Optics Express</title><idno type="eISSN">2156-7085</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>We present a novel algorithm to detect contact with tissue and automate data acquisition. Contact fiber-optic probe systems are useful in noninvasive applications and real-time analysis of tissue properties. However, applications of these technologies are limited to procedures with visualization to ensure probe-tissue contact and individual user techniques can introduce variability. The software design exploits the system previously designed by our group as an optical method to automatically detect tissue contact and trigger acquisition. This method detected tissue contact with 91% accuracy, detected removal from tissue with 83% accuracy and reduced user variability by > 8%. Without the need for additional hardware, this software algorithm can easily integrate into any fiber-optic system and expands applications where visualization is difficult.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Biomed Opt Express</journal-id><journal-id journal-id-type="iso-abbrev">Biomed Opt Express</journal-id><journal-id journal-id-type="publisher-id">BOE</journal-id><journal-title-group><journal-title>Biomedical Optics Express</journal-title></journal-title-group><issn pub-type="epub">2156-7085</issn><publisher><publisher-name>Optical Society of America</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24010002</article-id><article-id pub-id-type="pmc">3756576</article-id><article-id pub-id-type="publisher-id">192160</article-id><article-id pub-id-type="doi">10.1364/BOE.4.001401</article-id><article-categories><subj-group subj-group-type="heading"><subject>Clinical Instrumentation</subject></subj-group></article-categories><title-group><article-title>Method of detecting tissue contact for fiber-optic probes to automate data acquisition without hardware modification</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ruderman</surname><given-names>Sarah</given-names></name><xref ref-type="aff" rid="af1"><sup>1</sup></xref><xref ref-type="corresp" rid="C1">*</xref></contrib><contrib contrib-type="author"><name><surname>Mueller</surname><given-names>Scott</given-names></name><xref ref-type="aff" rid="af2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Gomes</surname><given-names>Andrew</given-names></name><xref ref-type="aff" rid="af1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Rogers</surname><given-names>Jeremy</given-names></name><xref ref-type="aff" rid="af1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Backman</surname><given-names>Vadim</given-names></name><xref ref-type="aff" rid="af1"><sup>1</sup></xref></contrib><aff id="af1"><label>1</label>Department of Biomedical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208,<country>USA</country></aff><aff id="af2"><label>2</label>American BioOptics, 1801 Maple Ave Evanston, IL 60201,<country>USA</country></aff></contrib-group><author-notes><corresp id="C1"><label>*</label><email>ruderman@u.northwestern.edu</email></corresp></author-notes><pub-date pub-type="epub"><day>23</day><month>7</month><year>2013</year></pub-date><pub-date pub-type="collection"><day>01</day><month>8</month><year>2013</year></pub-date><pub-date pub-type="pmc-release"><day>23</day><month>7</month><year>2013</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on the
<volume>4</volume><issue>8</issue><fpage>1401</fpage><lpage>1412</lpage><history><date date-type="received"><day>13</day><month>6</month><year>2013</year></date><date date-type="rev-recd"><day>15</day><month>7</month><year>2013</year></date><date date-type="accepted"><day>17</day><month>7</month><year>2013</year></date></history><permissions><copyright-statement>© 2013 Optical Society of America</copyright-statement><copyright-year>2013</copyright-year><copyright-holder>OSA</copyright-holder></permissions><abstract><p>We present a novel algorithm to detect contact with tissue and automate data acquisition. Contact fiber-optic probe systems are useful in noninvasive applications and real-time analysis of tissue properties. However, applications of these technologies are limited to procedures with visualization to ensure probe-tissue contact and individual user techniques can introduce variability. The software design exploits the system previously designed by our group as an optical method to automatically detect tissue contact and trigger acquisition. This method detected tissue contact with 91% accuracy, detected removal from tissue with 83% accuracy and reduced user variability by > 8%. Without the need for additional hardware, this software algorithm can easily integrate into any fiber-optic system and expands applications where visualization is difficult.</p></abstract><kwd-group kwd-group-type="OCIS"><title>OCIS codes</title><kwd>(170.1610) Clinical applications</kwd><kwd>(060.2310) Fiber optics</kwd><kwd>(120.1880) Detection</kwd><kwd>(230.3120) Integrated optics devices</kwd><kwd>(170.6510) Spectroscopy, tissue diagnostics</kwd></kwd-group><funding-group><award-group><funding-source id="sp1">Northwestern University</funding-source><funding-source id="sp2">NIH</funding-source><award-id rid="sp2">R01CA128641</award-id><award-id rid="sp2">R01EB003682</award-id><award-id rid="sp2">R01CA109861</award-id><award-id rid="sp2">F31CA144561</award-id></award-group></funding-group><custom-meta-group><custom-meta><meta-name>OpenAccess</meta-name><meta-value>True</meta-value></custom-meta><custom-meta><meta-name>OpenAccessEmbargo</meta-name><meta-value>12</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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