Description
Computational models have been increasingly utilized to evaluate patient conditions, in order to determine the severity of a pathology or evaluate and test different solutions to apply.
These models ensure the repeatability of the evaluations that are carried out and often offer insights that would not be easily obtained from patients, such as different levels of stresses and deformations obtained as a consequence of the chosen solutions applied.
In order to offer correct and reliable insights, the biomechanical properties and boundary conditions set for these models need to accurately match those of the patient.
Our aim is therefore to generate a pipeline to obtain patient-specific computational models with detailed bone tissue biomechanics, as a first step towards the development of an accurate tool to support clinical decisions and bone augmentation design.