TY  - JOUR 
AU  - Carpio, Ana
AU  - Cebrián de Barrio, Elena
AU  - Gutiérrez, Andrea
PY  - 2023
SN  - 0266-5611
UR  - http://hdl.handle.net/10259/8371
AB  - We develop a computational framework to quantify uncertainty in shear elastography imaging of anomalies in tissues. We adopt a Bayesian inference formulation. Given the observed data, a forward model and their uncertainties, we find the posterior...
LA  - eng
PB  - IOP Publishing
KW  - Inverse scattering
KW  - Full waveform inversion
KW  - Topological energy
KW  - Bayesian inference
KW  - Markov Chain Monte Carlo
KW  - PDE constrained optimization
KW  - Laplace approximation
KW  - Matemáticas
KW  - Mathematics
KW  - Biomedicina
KW  - Biomedicine
TI  - Object based Bayesian full-waveform inversion for shear elastography
DO  - 10.1088/1361-6420/acd5f8
T2  - Inverse Problems
VL  - 39
M2  - 075007
ER  -