Rasouligandomani, MortezaArco Churruca, Alejandro delChemorion, Francis KiptengwerBisotti, Marc-AntonioGalbusera, FabioNoailly, JérômeGonzález Ballester, Miguel Ángel, 1973-2025-07-172025-07-172024Rasouligandomani M, Del Arco A, Chemorion FK, Bisotti MA, Galbusera F, Noailly J, et al. Dataset of finite element models of normal and deformed thoracolumbar spine. Sci Data. 2024 May 29;11(1):549. DOI: 10.1038/s41597-024-03351-82052-4463http://hdl.handle.net/10230/70940Adult spine deformity (ASD) is prevalent and leads to a sagittal misalignment in the vertebral column. Computational methods, including Finite Element (FE) Models, have emerged as valuable tools for investigating the causes and treatment of ASD through biomechanical simulations. However, the process of generating personalised FE models is often complex and time-consuming. To address this challenge, we present a dataset of FE models with diverse spine morphologies that statistically represent real geometries from a cohort of patients. These models are generated using EOS images, which are utilized to reconstruct 3D surface spine models. Subsequently, a Statistical Shape Model (SSM) is constructed, enabling the adaptation of a FE hexahedral mesh template for both the bone and soft tissues of the spine through mesh morphing. The SSM deformation fields facilitate the personalization of the mean hexahedral FE model based on sagittal balance measurements. Ultimately, this new hexahedral SSM tool offers a means to generate a virtual cohort of 16807 thoracolumbar FE spine models, which are openly shared in a public repository.application/pdfeng© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/s41597-024-03351-8Biomedical engineeringComputational modelsMechanical engineeringinfo:eu-repo/semantics/openAccess