Abstract: The systems and methods perform Bayesian anatomically-driven, artificial-intelligence based intracardiac echocardiography object detection and prediction. The system proposes hypotheses for what features and objects are in view based on prior knowledge informed by previously acquired or generated models. During a cardiac interventional procedure, the system uses a per-frame object identification artificial intelligence (AI); the gathered data is analyzed within a Bayesian framework to create updated posterior prediction(s) of what feature(s) may be predicted (with a computed confidence level) to be in view and their respective location(s). Inferences that pass an accept/reject threshold for object identification and meet minimum threshold settings for temporal stability and spatial location are used to display labels and boundaries. The system predicts what features and objects are in-frame, where out-of-frame objects/features may be located, and how to navigate to them.

Abstract: Systems and methods for visualizing two-dimensional (2D), three-dimensional (3D), and four-dimensional (4D) ultrasound images generated by an ultrasound device are disclosed. In one aspect, the method includes displaying a display state selection on a user interface of a display screen in communication with a computing device, the display state selection indicating to receive 2D or 3D images. The method further includes receiving, from the user interface, a display state user selection indicating to generate 2D or 3D images. The method further includes, in response to receiving the display state user selection, controlling the ultrasound device to generate ultrasound images of the selected display state and communicate the generated ultrasound images to the computing device. The method further includes displaying the received ultrasound images on a portion of the display screen.

Abstract: Systems and methods of 3D ultrasound imaging with one or more “thick-slice” 3D ultrasound imaging zones and one or more 2D ultrasound zones using a multi-zone, multi-frequency image reconstruction scheme with subzone blending. The first zone can be a thick-slice imaging zone and the second and third zones are 2D imaging zones. The first zone and the second zone can be thick-slice imaging zones and the third zone can be a 2D imaging zone. The first zone can be a 2D imaging zone, the second zone can be a thick-slice imaging zone and the third zone can be a 2D imaging zone. A method includes imaging a first zone using plane wave imaging, a second zone using tissue harmonic imaging, and a third zone using fundamental and subharmonic deep imaging. The depth of each zone can vary based on the ultrasonic array and the F# used for imaging the zone.

Abstract: Methods and systems for the efficient determination of the direction of multiple signal sources in both near and far field using hierarchical combinations of sets of raw input signals to convert spatial input to angular output. Each increasing hierarchical combination increases angular resolution, improving image quality with low computational expenditure.

Abstract: Systems and methods for detecting features in ultrasound images and delineating boundaries that representative of the detected features. A method can include determining a boundary of a feature in a displayed ultrasound image, determining a closed polygon that represents the feature based on the boundary, and determining information of the feature using the dimensions of the closed polygon. The ultrasound image and graphical representations of the feature (e.g., the boundary, the closed polygon) can be displayed in a user interface on a touch screen display. The method can include receiving user input indicative of a location of the feature, and adjusting the feature boundary and closed polygon based on user input. The method can also include determining an area and/or a perimeter of the feature based on the closed polygon.

Abstract: Systems and methods for controlling contrast and time gain compensation (TGC) with a unified control. A system can include a first non-transitory computer storage medium for storing an ultrasound image, a second non-transitory computer storage medium for storing computer-executable instructions, and a computer hardware configured to execute the computer-executable instructions to at least cause presentation of the ultrasound image on a user interface of a display device using an initial contrast value for the ultrasound image and an initial time gain compensation value for at least two bands in the ultrasound image, each band being a portion of the displayed ultrasound image corresponding to a range of distances from an ultrasound scanner that generated the ultrasound image, and generate and cause display of a unified contrast/TGC (UTGC) control bar on the user interface for adjusting contrast and TGC of the displayed ultrasound image.

Abstract: Systems and methods for providing a built-in training capability for a computer application associated with multiple operations. A control icon may be presented along with an image associated with the particular computer application. The control icon may list training tasks that are associated with the particular computer application or the particular image and train a user in performing a particular operation. Based upon a user interaction with the control icon, a training task may be implemented. The training task may comprise multiple steps or actions required to complete the task. The training task may cause a written description of each action and a training icon to be presented to the user. The training task may therefore assist the user in performing the operation associated with the training task.

Abstract: Systems and methods of ultrasound imaging of an object that includes multiple depth zones. Each of the zones can be imaged using a different frequency, or the same frequency as another zone. A method includes imaging a first zone using plane wave imaging, imaging a second zone using tissue harmonic imaging, and imaging a third zone using fundamental and subharmonic deep imaging. The depth of each zone can vary based on the ultrasonic array, and correspondingly, the F # used for imaging the zone. In an example, zones can be imaged at different F #'s, for example, at F #1 for the first zone, at F #2, F #3, or F #6 for one or more zones that extend deeper into the object than the first zone. The method can also include forming an image based on the received signals from the multiple zones, and blending the transitions between the zones.

Abstract: Systems and methods for performing ultrasound visual protocols to increase the speed and accuracy of examinations. A system can include an ultrasound probe, a storage medium for storing ultrasound visual protocols associated with anatomy to be examined, a storage medium on which a scan map comprising a graphical representation of anatomy being examined for a visual protocol is stored, and a touch-screen image display for displaying on a user interface scan map and visual protocol information, a working ultrasonic image of the anatomy being examined, and selectable thumbnail ultrasound images of the anatomy being examined. The display is responsive to receive, for an object identified in an image, object measurement and location information for a visual protocol, and in response to receiving the such information, to display visual protocol steps, location information of the object on the working image, and measurement information of the object.

Abstract: Methods and systems for the efficient determination of the direction of multiple signal sources in both near and far field using hierarchical combinations of sets of raw input signals to convert spatial input to angular output. Each increasing hierarchical combination increases angular resolution, improving image quality with low computational expenditure.

Abstract: Described herein is a method and system for capturing, labeling, measuring and/or comparing images from current and/or previous ultrasound studies using a touch-screen user interface and a display where actions on the touch-screen input data on a captured ultrasound image on the display. Labels and measurements input on the touch-screen user interface are placed in the appropriate location on the captured ultrasound image and on an anatomically matching graphical representation on the touch-screen user interface either or both of which may be used to generate documentation and reports of an ultrasound study.

Abstract: An ultrasound probe is provided including a probe body with a sensing face arranged to be held in contact with a patient by a user. The probe provides a plurality of groups of control elements located on two or more exterior surfaces of the probe body sufficiently close to the distal end of the probe such that a user can interact with the control elements while maintaining the scanning position of the ultrasound probe.

Abstract: Described herein is a method and system for capturing, labeling, measuring and/or comparing images from current and/or previous ultrasound studies using a touch-screen user interface and a display where actions on the touch-screen input data on a captured ultrasound image on the display. Labels and measurements input on the touch-screen user interface are placed in the appropriate location on the captured ultrasound image and on an anatomically matching graphical representation on the touch-screen user interface either or both of which may be used to generate documentation and reports of an ultrasound study.

Abstract: Methods and systems for storing and processing a plurality of fractions of imaging data thereby minimizing the amount of cache memory necessary while controlling data loss and the resulting image quality.

Abstract: Methods and systems for the efficient determination of the direction of multiple signal sources in both near and far field using hierarchical combinations of sets of raw input signals to convert spatial input to angular output. Each increasing hierarchical combination increases angular resolution, improving image quality with low computational expenditure.