Abstract:
This investigation aims to develop a high-fidelity, parametric finite element model of the human cervical spine motion segment, employing a rigorous hierarchical model verification and validation (V&V) approach. A key aspect of this work is the development of a novel technique for accurately describing the complex geometry of the cervical spine by utilizing a unique set of geometry parameters that can be easily and reliably measured from standard clinical imaging systems, specifically Computed Tomography (CT) scans. Subsequently, this geometric data is efficiently converted into a well-defined finite element model, ensuring fidelity to the anatomical structure. The study involved collecting cervical spine parameters from CT scans of 73 volunteers (50 male and 23 female) to create a robust database for model development. The development of the parametric finite element model is underpinned by a comprehensive hierarchical V&V procedure. This procedure systematically verifies the model's performance at increasing levels of complexity, ensuring accuracy and reliability from foundational components to the integrated system. The V&V process currently comprises four distinct levels. The initial level, referred to as the component level, focuses on validating the behavior of individual soft tissue materials and geometric components, building confidence in the fundamental building blocks of the model. Subsequent levels progressively integrate more complex interactions and system behaviors, culminating in a model capable of accurately predicting cervical spine injury. This detailed V&V methodology is crucial for ensuring the predictive capability and trustworthiness of the developed cervical spine injury prediction model.
