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Personalization of human body models and beyond via image registration
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Neuronic Engineering.ORCID iD: 0000-0001-8522-4705
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Neuronic Engineering.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Neuronic Engineering.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Neuronic Engineering.
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2023 (English)In: Frontiers in Bioengineering and Biotechnology, E-ISSN 2296-4185, Vol. 11, article id 1169365Article in journal (Refereed) Published
Abstract [en]

Finite element human body models (HBMs) are becoming increasingly important numerical tools for traffic safety. Developing a validated and reliable HBM from the start requires integrated efforts and continues to be a challenging task. Mesh morphing is an efficient technique to generate personalized HBMs accounting for individual anatomy once a baseline model has been developed. This study presents a new image registration-based mesh morphing method to generate personalized HBMs. The method is demonstrated by morphing four baseline HBMs (SAFER, THUMS, and VIVA+ in both seated and standing postures) into ten subjects with varying heights, body mass indices (BMIs), and sex. The resulting personalized HBMs show comparable element quality to the baseline models. This method enables the comparison of HBMs by morphing them into the same subject, eliminating geometric differences. The method also shows superior geometry correction capabilities, which facilitates converting a seated HBM to a standing one, combined with additional positioning tools. Furthermore, this method can be extended to personalize other models, and the feasibility of morphing vehicle models has been illustrated. In conclusion, this new image registration-based mesh morphing method allows rapid and robust personalization of HBMs, facilitating personalized simulations.

Place, publisher, year, edition, pages
Frontiers Media SA , 2023. Vol. 11, article id 1169365
Keywords [en]
finite element human body model, image registration, mesh morphing, personalized simulations, traffic safety
National Category
Vehicle Engineering Medical Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-329453DOI: 10.3389/fbioe.2023.1169365ISI: 001000330700001PubMedID: 37274163Scopus ID: 2-s2.0-85161047619OAI: oai:DiVA.org:kth-329453DiVA, id: diva2:1771977
Note

QC 20230621

Available from: 2023-06-21 Created: 2023-06-21 Last updated: 2023-06-26Bibliographically approved

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Li, XiaogaiYuan, QiantailangLindgren, NataliaHuang, QiKleiven, Svein

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Li, XiaogaiYuan, QiantailangLindgren, NataliaHuang, QiKleiven, Svein
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