Abstract: An ultrasound device performs an ultrasound scan to acquire a video clip having images of a portion of a lung. The ultrasound device detects lung sliding in each of the images. The ultrasound device highlights the detected lung sliding in each of the images to generate processed images. The ultrasound device displays at least one of the processed images as one or more of an enhanced B mode image and an enhanced virtual M mode image.

Abstract: A system and method for simultaneously presenting Doppler signals of a Multi-Gated Doppler (MGD) signal corresponding to different anatomical structures is provided. The method includes receiving an MGD signal having a plurality of Doppler signals. The method includes analyzing the MGD signal to select multiple gates, each of the gates corresponding with a Doppler signal, and each of the selected gates associated with a different anatomical structure. The method includes selecting a set of parameters for each of the selected gates and applying each selected set of parameters for each of the selected gates. The selected set of parameters for each of the selected gates may be one or both of image acquisition parameters or display processing parameters. The method includes simultaneously presenting the Doppler signal for each of the selected gates at a display system after the each selected set of parameters is applied.

Abstract: An ultrasound device performs an ultrasound scan to acquire a video clip having a plurality of images in a selected zone of a set of lungs. The ultrasound device detects B lines in each of the images of the video clip. The ultrasound device assigns a score to each of the images of the video clip based at least in part on the detected number of B lines. The ultrasound device highlights the detected B lines in each of the images of the video clip. The ultrasound device identifies a representative image from the highlighted images of the video clip in the selected zone. The identification of the representative image is based at least in part on the assigned score of each of the images. The ultrasound device displays the identified representative image.

Abstract: A system and method for tracking an anatomical structure over time based on Pulsed-Wave (PW) Doppler signals of a Multi-Gated Doppler (MGD) signal is provided. The method may include identifying a gate corresponding with a selected anatomical structure. The method may include analyzing an MGD signal to track the selected anatomical structure over an extended period of time by selecting, at a plurality of sample times during the extended period of time, a PW Doppler signal from a plurality of PW Doppler signals of the MGD signal. Each of the selected PW Doppler corresponds with the selected anatomical structure at the particular sample time. The method may include presenting a continuous PW Doppler signal generated from each of the PW Doppler signals selected at each of the sample times during the extended period of time at a display system.

Abstract: Various methods and systems are provided for guiding maneuvering of a needle with automatic ultrasound beam steering. As one example, the ultrasound beam transmitted from a probe is steered automatically in response to a location of a tissue motion detected from ultrasound images acquired by the probe.

Abstract: An ultrasound imaging system and method acquires ultrasound image data from moving an ultrasound probe over a body of a person, automatically divides the ultrasound image data into segments of interest based on where the ultrasound image data was acquired, and displays a panoramic view of the ultrasound image data that includes two or more of the segments of interest with at least one of the segments of interest displayed as a video.

Abstract: A medical image training system includes an ultrasound imaging probe configured to acquire ultrasound image data of an imaged body of a person. The system also includes one or more processors configured to obtain one or more imaged pathological structures and to blend the one or more imaged pathological structures with the ultrasound image data to create composite image data. The one or more processors also are configured to direct an output device to display the composite image data to an operator.

Abstract: A system includes an ultrasound patch probe and brackets having a body and a base. The body includes a coupler and a hollow interior portion. The coupler is operable to receive the probe at a pre-defined ultrasound acquisition angle. The coupler defines a probe opening to provide the probe access to the hollow interior portion of the body. The coupler of each of the brackets is arranged to receive the probe at a different pre-defined ultrasound acquisition angle. The base surrounds a perimeter of the body and defines a bracket opening that extends through the base to provide access to the hollow interior portion of the body. The base includes a bottom surface operable to be secured against skin of a patient. The ultrasound patch probe is communicatively coupled to an ultrasound imaging system and detachably coupleable to the coupler of any selected one of the brackets.

Abstract: Systems and methods for measuring cardiac output are provided. The systems and methods generate an ultrasound image based on ultrasound imaging data of a patient acquired by an ultrasound probe. The systems and methods automatically designate a region of interest (ROI) within the ultrasound image, and acquire spectral data sets for corresponding candidate Doppler gates within the ROI based on Doppler data acquired by the ultrasound probe. The systems and methods automatically identify a select Doppler gate from the candidate Doppler gates based on a characteristic of the spectral data sets, and calculate a cardiac output of the patient based on the select Doppler gate.

Abstract: A system and a method of ultrasound imaging includes acquiring ultrasound data, acquiring a quality parameter while acquiring the ultrasound data, determining an acquisition quality level based on the quality parameter, displaying an image generated based on the ultrasound data and displaying an ROI on the ultrasound image, where a color of the ROI represents the acquisition quality level.

Abstract: An ultrasound device performs an ultrasound scan to acquire a video clip having a plurality of images in a selected zone of a set of lungs. The ultrasound device detects B lines in each of the images of the video clip. The ultrasound device assigns a score to each of the images of the video clip based at least in part on the detected number of B lines. The ultrasound device highlights the detected B lines in each of the images of the video clip. The ultrasound device identifies a representative image from the highlighted images of the video clip in the selected zone. The identification of the representative image is based at least in part on the assigned score of each of the images. The ultrasound device displays the identified representative image.

Abstract: An ultrasound device performs an ultrasound scan to acquire a video clip having images of a portion of a lung. The ultrasound device detects lung sliding in each of the images. The ultrasound device highlights the detected lung sliding in each of the images to generate processed images. The ultrasound device displays at least one of the processed images as one or more of an enhanced B mode image and an enhanced virtual M mode image.

Abstract: An ultrasound device acquires a video clip having a plurality of images in a selected zone of a set of lungs. The ultrasound device detects B lines in each of the plurality of images and detects a width of each of the B lines. The ultrasound device sorts the B lines into a first group and a second group based on the width, assigns a score based on the number of B lines and the width of each B line, and highlights the B lines in the first group differently than the B lines in the second group in each of the images. The ultrasound device identifies a representative image from the plurality of images and displays the identified representative image.

Abstract: Systems and methods for measuring cardiac output are provided. The systems and methods generate an ultrasound image based on ultrasound imaging data of a patient acquired by an ultrasound probe. The systems and methods automatically designate a region of interest (ROI) within the ultrasound image, and acquire spectral data sets for corresponding candidate Doppler gates within the ROI based on Doppler data acquired by the ultrasound probe. The systems and methods automatically identify a select Doppler gate from the candidate Doppler gates based on a characteristic of the spectral data sets, and calculate a cardiac output of the patient based on the select Doppler gate.