Ultrasound imaging system with a neural network for deriving imaging data and tissue information

An ultrasound system comprising:

• an ultrasound transducer configured to transmit ultrasound pulses toward tissue and generate echo signals responsive to the ultrasound pulses;
• a channel memory configured to store the echo signals;
• a beamformer configured to generate beamformed radiofrequency (RF) signals responsive to the echo signals;
• a graphics processing unit (GPU) configured to receive input data comprising one or more samples of the echo signals or the beamformed RF signals, the GPU further configured to execute instructions to perform a machine-trained algorithm to generate a first type of ultrasound imaging data based on the input data, wherein the machine-trained algorithm is further configured to receive auxiliary data as input, the auxiliary data including ultrasound transducer configuration information, beamformer configuration information, information about the tissue being imaged, or combinations thereof, and wherein the first type of ultrasound imaging data provided by the machine-trained algorithm is further based on the auxiliary data;
• and
• a processor configured to generate a second type of ultrasound imaging data based on the beamformed RF signals, wherein the processor is further configured to generate an ultrasound image based on the first type of ultrasound imaging data and the second type of ultrasound imaging data.