118 citations · 215 across the 10 of their papers we have counts for
5 papers · 1 filter
A Learned Born Series for Highly-Scattering Media
Antonio Stanziola, Simon Arridge, Ben T. Cox +1
A new method for solving the wave equation is presented, called the learned Born series (LBS), which is derived from a convergent Born Series but its components are found through t…
Transcranial ultrasound simulation with uncertainty estimation
Antonio Stanziola, José A. Pineda-Pardo, Bradley Treeby
Transcranial ultrasound simulations are increasingly used to predict in situ exposure parameters for ultrasound therapies in the brain. However, there can be considerable uncertain…
j-Wave: An open-source differentiable wave simulator
Antonio Stanziola, Simon R. Arridge, Ben T. Cox +1
We present an open-source differentiable acoustic simulator, j-Wave, which can solve time-varying and time-harmonic acoustic problems. It supports automatic differentiation, which…
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation
Maria Miscouridou, José A. Pineda-Pardo, Charlotte J. Stagg +2
Model-based treatment planning for transcranial ultrasound therapy typically involves mapping the acoustic properties of the skull from an x-ray computed tomography (CT) image of t…
Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models
Jean-Francois Aubry, Oscar Bates, Christian Boehm +19
Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate…