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Automatic CT-based finite element model generation for temperature-based death time estimation: feasibility study and sensitivity analysis.
Schenkl, Sebastian; Muggenthaler, Holger; Hubig, Michael; Erdmann, Bodo; Weiser, Martin; Zachow, Stefan; Heinrich, Andreas; Güttler, Felix Victor; Teichgräber, Ulf; Mall, Gita.
Afiliación
  • Schenkl S; Institute of Forensic Medicine, Jena University Hospital-Friedrich Schiller University Jena, Am Klinikum 1, Jena, 07747, Germany.
  • Muggenthaler H; Institute of Forensic Medicine, Jena University Hospital-Friedrich Schiller University Jena, Am Klinikum 1, Jena, 07747, Germany.
  • Hubig M; Institute of Forensic Medicine, Jena University Hospital-Friedrich Schiller University Jena, Am Klinikum 1, Jena, 07747, Germany. michael.hubig@med.uni-jena.de.
  • Erdmann B; Zuse Institute Berlin, Berlin, Germany.
  • Weiser M; Zuse Institute Berlin, Berlin, Germany.
  • Zachow S; Zuse Institute Berlin, Berlin, Germany.
  • Heinrich A; Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena, Jena, Germany.
  • Güttler FV; Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena, Jena, Germany.
  • Teichgräber U; Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena, Jena, Germany.
  • Mall G; Institute of Forensic Medicine, Jena University Hospital-Friedrich Schiller University Jena, Am Klinikum 1, Jena, 07747, Germany.
Int J Legal Med ; 131(3): 699-712, 2017 May.
Article en En | MEDLINE | ID: mdl-28091724
ABSTRACT
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 workflow for finite element-based cooling simulation is presented. The following steps are demonstrated on a CT phantom Computer tomography (CT) scan Segmentation of the CT images for thermodynamically relevant features of individual geometries and compilation in a geometric computer-aided design (CAD) model Conversion of the segmentation result into a finite element (FE) simulation model Computation of the model cooling curve (MOD) Calculation of the cooling time (CTE) For the first time in FE-based cooling time estimation, the steps from the CT image over segmentation to FE model generation are performed semi-automatically. 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 a CT phantom. Some of the phantoms' thermodynamic material parameters had to be determined via independent experiments.Moreover, the impact of geometry and material parameter uncertainties on the estimated cooling time is investigated by a sensitivity analysis.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cambios Post Mortem / Simulación por Computador / Análisis de Elementos Finitos Tipo de estudio: Diagnostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Int J Legal Med Asunto de la revista: JURISPRUDENCIA Año: 2017 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cambios Post Mortem / Simulación por Computador / Análisis de Elementos Finitos Tipo de estudio: Diagnostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: Int J Legal Med Asunto de la revista: JURISPRUDENCIA Año: 2017 Tipo del documento: Article País de afiliación: Alemania