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Deep learning-aided segmentation combined with finite element analysis reveals a more natural biomechanic of dinosaur fossil

文献类型：期刊论文

作者Zhang, Lijia2; Cao, Zixiong3; Zhao, Qi1,4,5
刊名SCIENTIFIC REPORTS
出版日期2025-04-22
卷号15期号:1页码:9
关键词Deep learning FEA CT segmentation Dinosaur Interdisciplinary
ISSN号2045-2322
DOI10.1038/s41598-025-99131-4
通讯作者Zhao, Qi(zhaoqi@ivpp.ac.cn)
英文摘要Finite element analysis (FEA), a biomechanical simulation technique capable of providing direct mechanical visualization for CT-based digital models, has been extensively applied to fossil image datasets to address key evolutionary questions in paleontology. However, the rock matrix filling intertrabecular space of fossils often causes severe deviations in FEA results. Segmentation strategies such as thresholding and manual labeling have been employed to mitigate these disturbances. However, the efficiency of manual segmentation and the accuracy of thresholding remain questionable. In this study, we applied FEA combined with deep learning-based segregation on a femoral specimen of Jeholosaurus (a small bipedal dinosaur). This novel methodology efficiently generates the FE model with stress distribution that closely reflects the trabecular architecture in fossils of extinct taxa, reflecting a more natural state of biomechanical performance with high biological reality. Our approach provides a practical strategy for studying the biomechanics, functional morphology, and taxonomy of extinct species.
资助项目National Natural Science Foundation of China ; [42072008] ; [42272020]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:001472869000006
出版者NATURE PORTFOLIO
资助机构National Natural Science Foundation of China
源URL[http://119.78.100.205/handle/311034/24758]  
专题中国科学院古脊椎动物与古人类研究所
通讯作者Zhao, Qi
作者单位1.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
2.Peking Union Med Coll & Chinese Acad Med Sci, Peking Union Med Coll Hosp, Dept Orthoped Surg, Beijing 100730, Peoples R China
3.Comet Technol Canada, Montreal, PQ H3B 1A7, Canada
4.Chinese Acad Sci, Inst Vertebrate Paleontol & Paleoanthropol, Beijing 100044, Peoples R China
5.Baoding Nat Hist Museum, Paleozool Museum China, Baoding 071000, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Lijia,Cao, Zixiong,Zhao, Qi. Deep learning-aided segmentation combined with finite element analysis reveals a more natural biomechanic of dinosaur fossil[J]. SCIENTIFIC REPORTS,2025,15(1):9.
APA Zhang, Lijia,Cao, Zixiong,&Zhao, Qi.(2025).Deep learning-aided segmentation combined with finite element analysis reveals a more natural biomechanic of dinosaur fossil.SCIENTIFIC REPORTS,15(1),9.
MLA Zhang, Lijia,et al."Deep learning-aided segmentation combined with finite element analysis reveals a more natural biomechanic of dinosaur fossil".SCIENTIFIC REPORTS 15.1(2025):9.

入库方式： OAI收割

来源：古脊椎动物与古人类研究所

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