A numerical protocol for death-time estimation

Doctoral Thesis

2021

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A body's axial temperature distribution at death was experimentally demonstrated by the author to predict the postmortem temperature plateau (PMTP), which is known to affect the measured core temperature value and hence death-time estimation. Yet today's methods of death-time estimation apply only a single-point approximation of a body's core temperature in life as well as a single-point measurement of a body's core temperature after death. Four studies were carried out to understand the relationship between a body's axial temperature distribution and the PMTP. The first study numerically approximated antemortem temperature distribution in an MRI-built, high-definition, anatomicallys egmented 3D computational human phantom consisting of several hundred tissues. Metabolic heat generation (QQmm) and blood perfusion (wwbb) parameters were applied to all thermogenic tissue using the Pennes BioHeat Model. The study demonstrated that the antemortem axial temperature distribution was nonlinear, that tissue temperature distribution was inhomogeneous, and that the position and size of the antemortem central isotherm was predicted by the size, shape and location of the most thermogenic internal organ in a given axial plane. Numerical approximation of a body’s antemortem axial temperature distribution using this study’s materials and methods was proposed for death-time estimation. The second study examined postmortem axial heat transfer. The approximated antemortem axial temperature distribution constituted the initial condition. QQmm and wwbb were set to zero to simulate death. Postmortem cooling was simulated in still air, on a cold concrete floor and on a heated floor. The antemortem central isotherm that single-point core thermometry detects was the PMTP. Its size at death, body radius, axial thermometry-depth and length of the postmortem interval (PMI) all predicted PMTP length. The cold concrete floor shifted the central isotherm away from the floor, while the heated floor shifted it towards the floor. Ground temperature and material properties, along with the aforementioned PMTP predictors, result in variation in measured single-point core thermometry values, yet today’s death-time estimation methods do not measure, approximate or standardise them. This is a source of uncertainty. This study demonstrated that a body’s postmortem axial thermal profile was very specific to the PMI at which it exists, including during the PMTP that single-point core thermometry detects. This study proposed a body’s measured postmortem axial thermal profile for death-time estimation to reduce PMTP uncertainties. The study also proposed numerical modelling of the ground, its temperature and material properties. The third study proposed a multipoint axial thermometry (MAT) device to measure a body’s postmortem axial thermal profile. The author designed the device prototype. Its fabrication was outsourced. Empiric and numerical MAT studies were conducted on a cooling dummy and 3D human phantom, respectively. MAT curves indicated a parabolic shape. The fourth study proposed a numerical protocol for death-time estimation that iteratively tested a MAT profile measured at an unknown PMI from a decedent using the proposed MAT device against MAT profiles predicted by numerical simulations of sequentially longer candidate PMIs. A candidate PMI whose MAT profile matched was considered the PMI estimated by the protocol. The proposed protocol applied the exact historical meteorological temperatures that existed during the final estimated PMI. Application of the protocol was demonstrated using a fictitious scenario in which a candidate PMI within 120s of the final estimated PMI was excluded. Potential sources of uncertainty of the proposed protocol were discussed and concluding remarks on future research were made.
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