Abstract: An ultrasound imaging system for needle insertion guidance uses a curved array transducer to scan an image field with unsteered beams as a needle is inserted into the image field. Due to differences in the angle of incidence between the radially directed beams and the needle, echoes will return most strongly from only a section of the needle. This section is identified in an image, and the angle of incidence producing the strongest returns is identified. Beams with this optimal angle of incidence are then steered in parallel from the curved array transducer to produce the best needle image. The steep steering angles of some of the steered beams can give rise to side lobe clutter artifacts, which can be identified and removed from the image data using dual apodization processing of the image data.

Abstract: An ultrasound imaging system for needle insertion guidance uses a curved array transducer to scan an image field with unsteered beams as a needle is inserted into the image field. Due to differences in the angle of incidence between the radially directed beams and the needle, echoes will return most strongly from only a section of the needle. This section is identified in an image, and the angle of incidence producing the strongest returns is identified. Beams with this optimal angle of incidence are then steered in parallel from the curved array transducer to produce the best needle image. The steep steering angles of some of the steered beams can give rise to side lobe clutter artifacts, which can be identified and removed from the image data using dual apodization processing of the image data.

Abstract: An ultrasound imaging system may include a user interface that may be adapted based, at least in part, on usage data of one or more users. The functions of soft or hard controls may be changed in some examples. The layout or appearance of soft or hard controls may be altered in some examples. In some examples, seldom used controls may be removed from the user interface. In some examples, the user interface may be adapted based on an anatomical feature being imaged. In some examples, the usage data may be analyzed by an artificial intelligence/machine learning model, which may provide outputs that may be used to adapt the user interface.

Abstract: Disclosed is an ultrasound imaging system that includes a remote server configured for communication with a first ultrasound imaging console and a second ultrasound imaging console. The server is configured to receive, from the first ultrasound imaging console, an upload request for a custom image setting, receive and store the custom image setting. The server is further configured to output, to the second ultrasound imaging console, data representative of the custom image setting; receive a request for the custom image setting; retrieve and send, to the second ultrasound imaging console, the custom image setting such that the second ultrasound imaging console can generate an image with the custom image setting.

Abstract: An ultrasound imaging system for needle insertion guidance uses a curved array transducer to scan an image field with unsteered beams as a needle is inserted into the image field. Due to differences in the angle of incidence between the radially directed beams and the needle, echoes will return most strongly from only a section of the needle. This section is identified in an image, and the angle of incidence producing the strongest returns is identified. Beams with this optimal angle of incidence are then steered in parallel from the curved array transducer to produce the best needle image. The steep steering angles of some of the steered beams can give rise to side lobe clutter artifacts, which can be identified and removed from the image data using dual apodization processing of the image data.