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解剖变异对基于温度的死亡时间推断的影响。

The impact of anatomy variation on temperature based time of death estimation.

机构信息

Zuse Institute Berlin, Takustraße 7, 14195, Berlin, Germany.

Institute of Forensic Medicine, Jena University Hospital - Friedrich Schiller University Jena, Am Klinikum 1, 07747, Jena, Germany.

出版信息

Int J Legal Med. 2023 Sep;137(5):1615-1627. doi: 10.1007/s00414-023-03026-w. Epub 2023 Jul 3.

Abstract

Temperature-based time of death estimation using simulation methods such as the finite element method promise higher accuracy and broader applicability in nonstandard cooling scenarios than established phenomenological methods. Their accuracy depends crucially on the simulation model to capture the actual situation, which in turn hinges on the representation of the corpse's anatomy in form of computational meshes as well as on the thermodynamic parameters. While inaccuracies in anatomy representation due to coarse mesh resolution are known to have a minor impact on the estimated time of death, the sensitivity with respect to larger differences in the anatomy has so far not been studied. We assess this sensitivity by comparing four independently generated and vastly different anatomical models in terms of the estimated time of death in an identical cooling scenario. In order to isolate the impact of shape variation, the models are scaled to a reference size, and the possible impact of measurement location variation is excluded explicitly by finding measurement locations leading to minimum deviations. The thus obtained lower bound on the impact of anatomy on the estimated time of death shows, that anatomy variations lead to deviations of at least 5-10%.

摘要

利用有限元等模拟方法进行基于温度的死亡时间估计,比已建立的现象学方法在非标准冷却情况下具有更高的准确性和更广泛的适用性。其准确性取决于模拟模型对实际情况的捕捉程度,而这又取决于尸体解剖结构的计算网格表示以及热力学参数。虽然由于粗网格分辨率导致解剖结构表示不准确对估计的死亡时间只有较小的影响,但目前尚未研究解剖结构较大差异的敏感性。我们通过比较四个独立生成且差异巨大的解剖模型,评估了在相同冷却情况下估计死亡时间的敏感性。为了隔离形状变化的影响,模型被缩放到参考尺寸,并且通过找到导致最小偏差的测量位置,明确排除了测量位置变化的可能影响。因此,获得的解剖结构对估计死亡时间的影响下限表明,解剖结构的变化导致偏差至少为 5-10%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e57f/10421832/03cc4f99aeb4/414_2023_3026_Fig1_HTML.jpg

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