Artificial intelligence-controlled ultrasound setup for power and image quality optimization

A medical imaging system comprising:

• a processing circuit having a processor coupled to a memory device storing instructions thereon that, when executed, cause the processing circuit to perform operations comprising:
• determining, by a machine learning model, that a transducer of the medical imaging system is being navigated, wherein the transducer is configured to transmit and receive an ultrasound signal;
• dynamically adjusting, by the machine learning model, one or more acquisition parameters of the transducer to reduce an image quality of an image corresponding to the ultrasound signal;
• determining, by the machine learning model, that the transducer is positioned to capture a first ultrasound image;
• and
• dynamically readjusting, by the machine learning model, the one or more acquisition parameters to increase an image quality of the image corresponding to the ultrasound signal when the transducer is positioned to capture the first ultrasound image.

A method comprising:

• determining, by a machine learning model of a processing circuit of an ultrasound imaging system, that a transducer of the ultrasound imaging system is being navigated, wherein the transducer is configured to transmit and receive an ultrasound signal;
• dynamically adjusting, by the machine learning model of the processing circuit, one or more acquisition parameters of the transducer to reduce an image quality of an image corresponding to the ultrasound signal;
• determining, by the machine learning model of the processing circuit, that the transducer is positioned to capture a first ultrasound image;
• and
• dynamically readjusting, by the machine learning model of the processing circuit, the one or more acquisition parameters to increase an image quality of the image corresponding to the ultrasound signal when the transducer is positioned to capture the first ultrasound image.