Uncertainty quantification in the in vivo image-based estimation of local elastic properties of vascular walls

HIGHLIGHTS

SUMMARY

The adaptation of cardiovascular models toward reliable in_vivo patient-specific conditions represents a major challenge, especially due to the multiple sources of uncertainty propagating through the model and affecting the reliability of numerical results. Currently, the implementation of trustworthy in_vivo patient-specific mechanical properties in numerical models represents the biggest source of uncertainty. On one hand, image-based data are the main source of input information for the representation of the in_vivo conditions. On the other hand, the mechanical behavior of in_vivo vessels is the main source of uncertainty. In this context, several studies . . .

 



If you want to have access to all the content you need to log in!

Thanks :)

Username or Email

Password

Remember me

Lost your password?

If you don't have an account, you can create one here.