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  <doc>
    <id>5957</id>
    <completedYear>2017</completedYear>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>699</pageFirst>
    <pageLast>712</pageLast>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>131</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2017-01-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Automatic CT-based finite element model generation for temperature-based death time estimation: feasibility study and sensitivity analysis</title>
    <abstract language="eng">Temperature based death time estimation is based either on simple phenomenological models of corpse cooling or on detailed physical heat transfer models. The latter are much more complex, but allow a higher accuracy of death time estimation as in principle all relevant cooling mechanisms can be taken into account. Here, a complete work flow for finite element based cooling simulation models is presented.&#13;
&#13;
The following steps are demonstrated on CT-phantoms:&#13;
• CT-scan&#13;
• Segmentation of the CT images for thermodynamically relevant features of individual&#13;
geometries&#13;
• Conversion of the segmentation result into a Finite Element (FE) simulation model&#13;
• Computation of the model cooling curve&#13;
• Calculation of the cooling time&#13;
&#13;
For the first time in FE-based cooling time estimation the steps from the CT image over segmentation to FE model generation are semi-automatically performed. The cooling time calculation results are compared to cooling measurements performed on the phantoms under controlled conditions. In this context, the method is validated using different CTphantoms. Some of the CT phantoms thermodynamic material parameters had to be experimentally determined via independent experiments. Moreover the impact of geometry and material parameter uncertainties on the estimated cooling time is investigated by a sensitivity analysis.</abstract>
    <parentTitle language="eng">International Journal of Legal Medicine</parentTitle>
    <identifier type="doi">doi:10.1007/s00414-016-1523-0</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <submitter>Bodo Erdmann</submitter>
    <author>Sebastian Schenkl</author>
    <author>Holger Muggenthaler</author>
    <author>Michael Hubig</author>
    <author>Bodo Erdmann</author>
    <author>Martin Weiser</author>
    <author>Stefan Zachow</author>
    <author>Andreas Heinrich</author>
    <author>Felix Victor Güttler</author>
    <author>Ulf Teichgräber</author>
    <author>Gita Mall</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>temperature based death time estimation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>finite element method</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>CT segmentation</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>sensitivity analysis</value>
    </subject>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="compmed">Computational Medicine</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="weiser">Weiser, Martin</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="UJena-Forensic">UJena-Forensic</collection>
    <collection role="projects" number="ZIB-Kaskade7">ZIB-Kaskade7</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6669</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted>2018</thesisYearAccepted>
    <language>eng</language>
    <pageFirst>2815</pageFirst>
    <pageLast>2826</pageLast>
    <pageNumber>12</pageNumber>
    <edition/>
    <issue>9</issue>
    <volume>54</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2018-03-17</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Uncertainty in Temperature-Based Determination of Time of Death</title>
    <abstract language="eng">Temperature-based estimation of time of death (ToD) can be per-&#13;
formed either with the help of simple phenomenological models of corpse&#13;
cooling or with detailed mechanistic (thermodynamic) heat transfer mod-&#13;
els. The latter are much more complex, but allow a higher accuracy of&#13;
ToD estimation as in principle all relevant cooling mechanisms can be&#13;
taken into account.&#13;
The potentially higher accuracy depends on the accuracy of tissue and&#13;
environmental parameters as well as on the geometric resolution. We in-&#13;
vestigate the impact of parameter variations and geometry representation&#13;
on the estimated ToD based on a highly detailed 3D corpse model, that&#13;
has been segmented and geometrically reconstructed from a computed to-&#13;
mography (CT) data set, differentiating various organs and tissue types.</abstract>
    <parentTitle language="eng">Heat and Mass Transfer</parentTitle>
    <identifier type="doi">10.1007/s00231-018-2324-4</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-63818</enrichment>
    <enrichment key="AcceptedDate">2018-03-12</enrichment>
    <author>Martin Weiser</author>
    <submitter>Martin Weiser</submitter>
    <author>Bodo Erdmann</author>
    <author>Sebastian Schenkl</author>
    <author>Holger Muggenthaler</author>
    <author>Michael Hubig</author>
    <author>Gita Mall</author>
    <author>Stefan Zachow</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="compmed">Computational Medicine</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="weiser">Weiser, Martin</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="UJena-Forensic">UJena-Forensic</collection>
    <collection role="projects" number="ZIB-Kaskade7">ZIB-Kaskade7</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>6381</id>
    <completedYear>2017</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2017-05-02</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Uncertainty in Temperature-Based Determination of Time of Death</title>
    <abstract language="eng">Temperature-based estimation of time of death (ToD) can be per-&#13;
formed either with the help of simple phenomenological models of corpse&#13;
cooling or with detailed mechanistic (thermodynamic) heat transfer mod-&#13;
els. The latter are much more complex, but allow a higher accuracy of&#13;
ToD estimation as in principle all relevant cooling mechanisms can be&#13;
taken into account.&#13;
The potentially higher accuracy depends on the accuracy of tissue and&#13;
environmental parameters as well as on the geometric resolution. We in-&#13;
vestigate the impact of parameter variations and geometry representation&#13;
on the estimated ToD based on a highly detailed 3D corpse model, that&#13;
has been segmented and geometrically reconstructed from a computed to-&#13;
mography (CT) data set, differentiating various organs and tissue types.&#13;
From that we identify the most crucial parameters to measure or estimate,&#13;
and obtain a local uncertainty quantifcation for the ToD.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-63818</identifier>
    <enrichment key="SourceTitle">Heat and Mass Transfer, DOI 10.1007/s0023</enrichment>
    <submitter>Bodo Erdmann</submitter>
    <author>Martin Weiser</author>
    <author>Bodo Erdmann</author>
    <author>Sebastian Schenkl</author>
    <author>Holger Muggenthaler</author>
    <author>Michael Hubig</author>
    <author>Gita Mall</author>
    <author>Stefan Zachow</author>
    <series>
      <title>ZIB-Report</title>
      <number>17-18</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>forensic medicine</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>determination of time of death</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>heat transfer equation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensitivity i.r.t. thermal parameters</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensitivity i.r.t. geometric resolution</value>
    </subject>
    <collection role="msc" number="35-XX">PARTIAL DIFFERENTIAL EQUATIONS</collection>
    <collection role="msc" number="92-XX">BIOLOGY AND OTHER NATURAL SCIENCES</collection>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="compmed">Computational Medicine</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="weiser">Weiser, Martin</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="UJena-Forensic">UJena-Forensic</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/6381/ZR-17-18.pdf</file>
  </doc>
</export-example>
