Image-Guided Abdominal Surgery and Therapy Delivery
Identifieur interne : 001842 ( Pmc/Curation ); précédent : 001841; suivant : 001843Image-Guided Abdominal Surgery and Therapy Delivery
Auteurs : Robert L. Galloway ; S. Duke Herrell ; Michael I. MigaSource :
- Journal of healthcare engineering [ 2040-2295 ] ; 2012.
Abstract
Image-Guided Surgery has become the standard of care in intracranial neurosurgery providing more exact resections while minimizing damage to healthy tissue. Moving that process to abdominal organs presents additional challenges in the form of image segmentation, image to physical space registration, organ motion and deformation. In this paper, we present methodologies and results for addressing these challenges in two specific organs: the liver and the kidney.
Url:
DOI: 10.1260/2040-2295.3.2.203
PubMed: 25077012
PubMed Central: 4112601
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PMC:4112601Le document en format XML
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<author><name sortKey="Galloway, Robert L" sort="Galloway, Robert L" uniqKey="Galloway R" first="Robert L." last="Galloway">Robert L. Galloway</name>
<affiliation><nlm:aff id="A1">Department of Biomedical Engineering</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A2">Department of Neurosurgery</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A3">Department of Surgery</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Herrell, S Duke" sort="Herrell, S Duke" uniqKey="Herrell S" first="S. Duke" last="Herrell">S. Duke Herrell</name>
<affiliation><nlm:aff id="A4">Department of Urology</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A1">Department of Biomedical Engineering</nlm:aff>
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<author><name sortKey="Miga, Michael I" sort="Miga, Michael I" uniqKey="Miga M" first="Michael I." last="Miga">Michael I. Miga</name>
<affiliation><nlm:aff id="A1">Department of Biomedical Engineering</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A2">Department of Neurosurgery</nlm:aff>
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<affiliation><nlm:aff id="A5">Department of Radiology and Radiological Sciences Vanderbilt University</nlm:aff>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Image-Guided Abdominal Surgery and Therapy Delivery</title>
<author><name sortKey="Galloway, Robert L" sort="Galloway, Robert L" uniqKey="Galloway R" first="Robert L." last="Galloway">Robert L. Galloway</name>
<affiliation><nlm:aff id="A1">Department of Biomedical Engineering</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A2">Department of Neurosurgery</nlm:aff>
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<affiliation><nlm:aff id="A3">Department of Surgery</nlm:aff>
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<author><name sortKey="Herrell, S Duke" sort="Herrell, S Duke" uniqKey="Herrell S" first="S. Duke" last="Herrell">S. Duke Herrell</name>
<affiliation><nlm:aff id="A4">Department of Urology</nlm:aff>
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<affiliation><nlm:aff id="A1">Department of Biomedical Engineering</nlm:aff>
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<author><name sortKey="Miga, Michael I" sort="Miga, Michael I" uniqKey="Miga M" first="Michael I." last="Miga">Michael I. Miga</name>
<affiliation><nlm:aff id="A1">Department of Biomedical Engineering</nlm:aff>
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<affiliation><nlm:aff id="A2">Department of Neurosurgery</nlm:aff>
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<affiliation><nlm:aff id="A5">Department of Radiology and Radiological Sciences Vanderbilt University</nlm:aff>
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<series><title level="j">Journal of healthcare engineering</title>
<idno type="ISSN">2040-2295</idno>
<idno type="eISSN">2040-2309</idno>
<imprint><date when="2012">2012</date>
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<front><div type="abstract" xml:lang="en"><p id="P1">Image-Guided Surgery has become the standard of care in intracranial neurosurgery providing more exact resections while minimizing damage to healthy tissue. Moving that process to abdominal organs presents additional challenges in the form of image segmentation, image to physical space registration, organ motion and deformation. In this paper, we present methodologies and results for addressing these challenges in two specific organs: the liver and the kidney.</p>
</div>
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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">101528166</journal-id>
<journal-id journal-id-type="pubmed-jr-id">39708</journal-id>
<journal-id journal-id-type="nlm-ta">J Healthc Eng</journal-id>
<journal-id journal-id-type="iso-abbrev">J Healthc Eng</journal-id>
<journal-title-group><journal-title>Journal of healthcare engineering</journal-title>
</journal-title-group>
<issn pub-type="ppub">2040-2295</issn>
<issn pub-type="epub">2040-2309</issn>
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<article-meta><article-id pub-id-type="pmid">25077012</article-id>
<article-id pub-id-type="pmc">4112601</article-id>
<article-id pub-id-type="doi">10.1260/2040-2295.3.2.203</article-id>
<article-id pub-id-type="manuscript">NIHMS523855</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Image-Guided Abdominal Surgery and Therapy Delivery</article-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Galloway</surname>
<given-names>Robert L.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A2">2</xref>
<xref ref-type="aff" rid="A3">3</xref>
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<contrib contrib-type="author"><name><surname>Herrell</surname>
<given-names>S. Duke</given-names>
</name>
<email>duke.herrell@vanderbilt.edu</email>
<xref ref-type="aff" rid="A4">4</xref>
<xref ref-type="aff" rid="A1">1</xref>
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<contrib contrib-type="author"><name><surname>Miga</surname>
<given-names>Michael I.</given-names>
</name>
<email>michael.i.miga@vanderbilt.edu</email>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A2">2</xref>
<xref ref-type="aff" rid="A5">5</xref>
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<aff id="A1"><label>1</label>
Department of Biomedical Engineering</aff>
<aff id="A2"><label>2</label>
Department of Neurosurgery</aff>
<aff id="A3"><label>3</label>
Department of Surgery</aff>
<aff id="A4"><label>4</label>
Department of Urology</aff>
<aff id="A5"><label>5</label>
Department of Radiology and Radiological Sciences Vanderbilt University</aff>
<author-notes><corresp id="cor1">Corresponding author: Robert L. Galloway Jr., Department of Biomedical Engineering, Box 1631 Station B, Vanderbilt University, Nashville TN 37235, USA. Phone: (615)343-8102. Fax: (615) 343-7919. <email>bob.galloway@vanderbilt.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>29</day>
<month>10</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="ppub"><month>6</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>28</day>
<month>7</month>
<year>2014</year>
</pub-date>
<volume>3</volume>
<issue>2</issue>
<fpage>203</fpage>
<lpage>228</lpage>
<pmc-comment>elocation-id from pubmed: 10.1260/2040-2295.3.2.203</pmc-comment>
<abstract><p id="P1">Image-Guided Surgery has become the standard of care in intracranial neurosurgery providing more exact resections while minimizing damage to healthy tissue. Moving that process to abdominal organs presents additional challenges in the form of image segmentation, image to physical space registration, organ motion and deformation. In this paper, we present methodologies and results for addressing these challenges in two specific organs: the liver and the kidney.</p>
</abstract>
<kwd-group><kwd>Image-guided surgery</kwd>
<kwd>abdominal</kwd>
<kwd>kidney</kwd>
<kwd>liver</kwd>
</kwd-group>
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</front>
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