Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer
Identifieur interne : 000422 ( Pmc/Corpus ); précédent : 000421; suivant : 000423Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer
Auteurs : D. Fuentes ; J. T. Oden ; K. R. Diller ; J. D. Hazle ; A. Elliott ; A. Shetty ; R. J. StaffordSource :
- Annals of biomedical engineering [ 0090-6964 ] ; 2009.
Abstract
An adaptive feedback control system is presented which employs a computational model of bioheat transfer in living tissue to guide, in real-time, laser treatments of prostate cancer monitored by magnetic resonance thermal imaging (MRTI). The system is built on what can be referred to as cyberinfrastructure - a complex structure of high-speed network, large-scale parallel computing devices, laser optics, imaging, visualizations, inverse-analysis algorithms, mesh generation, and control systems that guide laser therapy to optimally control the ablation of cancerous tissue. The computational system has been successfully tested on
Url:
DOI: 10.1007/s10439-008-9631-8
PubMed: 19148754
PubMed Central: 4064943
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PMC:4064943Le document en format XML
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<author><name sortKey="Fuentes, D" sort="Fuentes, D" uniqKey="Fuentes D" first="D." last="Fuentes">D. Fuentes</name>
<affiliation><nlm:aff id="A1"> Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA</nlm:aff>
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<author><name sortKey="Oden, J T" sort="Oden, J T" uniqKey="Oden J" first="J. T." last="Oden">J. T. Oden</name>
<affiliation><nlm:aff id="A1"> Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA</nlm:aff>
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<author><name sortKey="Diller, K R" sort="Diller, K R" uniqKey="Diller K" first="K. R." last="Diller">K. R. Diller</name>
<affiliation><nlm:aff id="A2"> Department of Biomedical Engineering, The University of Texas at Austin, Austin TX 78712, USA</nlm:aff>
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<author><name sortKey="Hazle, J D" sort="Hazle, J D" uniqKey="Hazle J" first="J. D." last="Hazle">J. D. Hazle</name>
<affiliation><nlm:aff id="A3"> University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</nlm:aff>
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<author><name sortKey="Elliott, A" sort="Elliott, A" uniqKey="Elliott A" first="A." last="Elliott">A. Elliott</name>
<affiliation><nlm:aff id="A3"> University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</nlm:aff>
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</author>
<author><name sortKey="Shetty, A" sort="Shetty, A" uniqKey="Shetty A" first="A." last="Shetty">A. Shetty</name>
<affiliation><nlm:aff id="A3"> University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</nlm:aff>
</affiliation>
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<author><name sortKey="Stafford, R J" sort="Stafford, R J" uniqKey="Stafford R" first="R. J." last="Stafford">R. J. Stafford</name>
<affiliation><nlm:aff id="A3"> University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</nlm:aff>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer</title>
<author><name sortKey="Fuentes, D" sort="Fuentes, D" uniqKey="Fuentes D" first="D." last="Fuentes">D. Fuentes</name>
<affiliation><nlm:aff id="A1"> Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA</nlm:aff>
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<author><name sortKey="Oden, J T" sort="Oden, J T" uniqKey="Oden J" first="J. T." last="Oden">J. T. Oden</name>
<affiliation><nlm:aff id="A1"> Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA</nlm:aff>
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<author><name sortKey="Diller, K R" sort="Diller, K R" uniqKey="Diller K" first="K. R." last="Diller">K. R. Diller</name>
<affiliation><nlm:aff id="A2"> Department of Biomedical Engineering, The University of Texas at Austin, Austin TX 78712, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Hazle, J D" sort="Hazle, J D" uniqKey="Hazle J" first="J. D." last="Hazle">J. D. Hazle</name>
<affiliation><nlm:aff id="A3"> University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</nlm:aff>
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<author><name sortKey="Elliott, A" sort="Elliott, A" uniqKey="Elliott A" first="A." last="Elliott">A. Elliott</name>
<affiliation><nlm:aff id="A3"> University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</nlm:aff>
</affiliation>
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<author><name sortKey="Shetty, A" sort="Shetty, A" uniqKey="Shetty A" first="A." last="Shetty">A. Shetty</name>
<affiliation><nlm:aff id="A3"> University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</nlm:aff>
</affiliation>
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<author><name sortKey="Stafford, R J" sort="Stafford, R J" uniqKey="Stafford R" first="R. J." last="Stafford">R. J. Stafford</name>
<affiliation><nlm:aff id="A3"> University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</nlm:aff>
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<series><title level="j">Annals of biomedical engineering</title>
<idno type="ISSN">0090-6964</idno>
<idno type="eISSN">1573-9686</idno>
<imprint><date when="2009">2009</date>
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<front><div type="abstract" xml:lang="en"><p id="P3">An adaptive feedback control system is presented which employs a computational model of bioheat transfer in living tissue to guide, in real-time, laser treatments of prostate cancer monitored by magnetic resonance thermal imaging (MRTI). The system is built on what can be referred to as cyberinfrastructure - a complex structure of high-speed network, large-scale parallel computing devices, laser optics, imaging, visualizations, inverse-analysis algorithms, mesh generation, and control systems that guide laser therapy to optimally control the ablation of cancerous tissue. The computational system has been successfully tested on <italic>in-vivo</italic>
, canine prostate. Over the course of an 18 minute laser induced thermal therapy (LITT) performed at M.D. Anderson Cancer Center (MDACC) in Houston, Texas, the computational models were calibrated to intra-operative real time thermal imaging treatment data and the calibrated models controlled the bioheat transfer to within 5°C of the predetermined treatment plan. The computational arena is in Austin, Texas and managed at the Institute for Computational Engineering and Sciences (ICES). The system is designed to control the bioheat transfer remotely while simultaneously providing real-time remote visualization of the on-going treatment. Post operative histology of the canine prostate reveal that the damage region was within the targeted 1.2cm diameter treatment objective.</p>
</div>
</front>
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<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>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">0361512</journal-id>
<journal-id journal-id-type="pubmed-jr-id">561</journal-id>
<journal-id journal-id-type="nlm-ta">Ann Biomed Eng</journal-id>
<journal-id journal-id-type="iso-abbrev">Ann Biomed Eng</journal-id>
<journal-title-group><journal-title>Annals of biomedical engineering</journal-title>
</journal-title-group>
<issn pub-type="ppub">0090-6964</issn>
<issn pub-type="epub">1573-9686</issn>
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<article-meta><article-id pub-id-type="pmid">19148754</article-id>
<article-id pub-id-type="pmc">4064943</article-id>
<article-id pub-id-type="doi">10.1007/s10439-008-9631-8</article-id>
<article-id pub-id-type="manuscript">NIHMS561787</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Fuentes</surname>
<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
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<contrib contrib-type="author"><name><surname>Oden</surname>
<given-names>J. T.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Diller</surname>
<given-names>K. R.</given-names>
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<xref ref-type="aff" rid="A2">2</xref>
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<contrib contrib-type="author"><name><surname>Hazle</surname>
<given-names>J. D.</given-names>
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<xref ref-type="aff" rid="A3">3</xref>
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<contrib contrib-type="author"><name><surname>Elliott</surname>
<given-names>A.</given-names>
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<xref ref-type="aff" rid="A3">3</xref>
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<contrib contrib-type="author"><name><surname>Shetty</surname>
<given-names>A.</given-names>
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<xref ref-type="aff" rid="A3">3</xref>
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<contrib contrib-type="author"><name><surname>Stafford</surname>
<given-names>R. J.</given-names>
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<aff id="A1"><label>1</label>
Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX 78712, USA</aff>
<aff id="A2"><label>2</label>
Department of Biomedical Engineering, The University of Texas at Austin, Austin TX 78712, USA</aff>
<aff id="A3"><label>3</label>
University of Texas M.D. Anderson Cancer Center, Department of Imaging Physics, Houston TX 77030, USA</aff>
<author-notes><fn id="FN5"><p id="P1"><email>fuentes@ices.utexas.edu</email>
<email>oden@ices.utexas.edu</email>
, <email>kdiller@mail.utexas.edu</email>
, <email>jhazle@di.mdacc.tmc.edu</email>
<email>Andrew.Elliott@di.mdacc.tmc.edu</email>
<email>Anil.Shetty@di.mdacc.tmc.edu</email>
<email>jstafford@di.mdacc.tmc.edu</email>
</p>
<p id="P2">Webpage: <ext-link ext-link-type="uri" xlink:href="http://dddas.ices.utexas.edu">http://dddas.ices.utexas.edu</ext-link>
</p>
</fn>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>22</day>
<month>4</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub"><day>16</day>
<month>1</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="ppub"><month>4</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>20</day>
<month>6</month>
<year>2014</year>
</pub-date>
<volume>37</volume>
<issue>4</issue>
<fpage>763</fpage>
<lpage>782</lpage>
<pmc-comment>elocation-id from pubmed: 10.1007/s10439-008-9631-8</pmc-comment>
<abstract><p id="P3">An adaptive feedback control system is presented which employs a computational model of bioheat transfer in living tissue to guide, in real-time, laser treatments of prostate cancer monitored by magnetic resonance thermal imaging (MRTI). The system is built on what can be referred to as cyberinfrastructure - a complex structure of high-speed network, large-scale parallel computing devices, laser optics, imaging, visualizations, inverse-analysis algorithms, mesh generation, and control systems that guide laser therapy to optimally control the ablation of cancerous tissue. The computational system has been successfully tested on <italic>in-vivo</italic>
, canine prostate. Over the course of an 18 minute laser induced thermal therapy (LITT) performed at M.D. Anderson Cancer Center (MDACC) in Houston, Texas, the computational models were calibrated to intra-operative real time thermal imaging treatment data and the calibrated models controlled the bioheat transfer to within 5°C of the predetermined treatment plan. The computational arena is in Austin, Texas and managed at the Institute for Computational Engineering and Sciences (ICES). The system is designed to control the bioheat transfer remotely while simultaneously providing real-time remote visualization of the on-going treatment. Post operative histology of the canine prostate reveal that the damage region was within the targeted 1.2cm diameter treatment objective.</p>
</abstract>
<kwd-group><kwd>hyperthermia</kwd>
<kwd>real-time computing</kwd>
<kwd>medical imaging</kwd>
<kwd>cancer treatment</kwd>
<kwd>cyberinfrastructure</kwd>
<kwd>PDE constrained optimization</kwd>
</kwd-group>
</article-meta>
</front>
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