Automated and manual model creation workflows are equally reliable for virtual mechanical testing of ovine bone and fracture healing.

ABSTRACT: Virtual mechanical testing on image-based bone models (digital twins) provides subject-specific insights about the mechanical behavior of a bone during fracture healing. However, the established workflows for these tests are limited by reliance on commercial software and time-consuming manual procedures needed to create the digital twins. To overcome these barriers to clinical adoption and scalability, we have developed methods for user-independent and automated model generation. This study aimed to: (1) compare four competing methods for digital twin creation (two manual versus two automated approaches), (2) assess the influence of model-creation procedures and choice of material model (single- and dual-zone) on the virtual test results, and (3) evaluate the accuracy of the model-creation

SUBMITTER: Bahrami M 

PROVIDER: S-EPMC12749364 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature