Automated set of test simulations for non‐ideal medical ultrasound transducers using Monte‐Carlo method

Using Field II program and Monte‐Carlo method, we developed new design tools for medical ultrasound transducers with the automated set of imaging simulations. This simulation environment is used to create and assess the parametric specification of design factors affecting the quality of medical ultrasound imaging. In order to obtain accurate and realistic results, non‐ideal transducers whose transfer functions vary either across the transducer or within the transducer are considered. These variations include, but are not limited to: center frequency, bandwidth, sensitivity, ringdown, angular response, time‐of‐flight, and lateral focus. By applying random numbers within the tolerance range to the variations in input parameters, the automated set of simulations is performed. First, critical input parameters for components of the transfer function are identified by sensitivity analysis. Next, the statistical range of parameter values that yield a transducer model with a certain performance level is determine...