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.

A computer is caused to perform processing of: acquiring a plurality of medical images generated based on signals detected by a catheter inserted into a lumen organ while the catheter is moving a sensor along a longitudinal direction of the lumen organ, the lumen organ including a main trunk, a side branch branched from the main trunk, and a bifurcated portion of the main trunk and the side branch; and recognizing a main trunk cross-section, a side branch cross-section, and a bifurcated portion cross-section by inputting the acquired medical images into a learning model configured to recognize the main trunk cross-section, the side branch cross-section, and the bifurcated portion cross-section.

Methods for acquiring ultrasonic data from a scanner constructed for B-mode scans are disclosed. An image-acquiring system is provided. A three-dimensional target region is selected. A model of the target region comprising a plurality of target locations representing a plurality of planned locations in the target region at which ultrasonic data is to be acquired is created, and a visual representation of the model comprising a plurality of graphical elements is displayed. Ultrasonic data at each of the planned locations is acquired. A transformation of the visual representation is executed, comprising: performing a data quality test at each target location; for any target location that fails the data quality test, altering a graphical element corresponding to the failed target location to indicate failure of the data quality test at that location; and displaying a transformed visual representation comprising updated graphical elements on the visual display

An apparatus for remote interaction with a patient includes a local system including a physical element to interact with the patient, and a local electronic device with a camera to capture images of the physical element interacting with the patient, and a local display to display the images with a virtual representation of the physical element relative to the patient. The local electronic device obtains information dependent on position and orientation of the physical element interacting with the patient. A remote system includes a remote electronic device with a display to display the images of the physical element interacting with the patient, and an image based on the information. A remote input device controls position and orientation of the virtual representation displayed on the local display. The remote system communicates with the local system with low latency for alignment of the physical element with the virtual representation.

A monitoring system a user activity sensor to determine patterns of activity based upon the user activity occurring over time.

A hand-held ultrasound system includes integrated electronics within an ergonomic housing. The electronics includes control circuitry, beamforming and circuitry transducer drive circuitry. The electronics communicate with a host computer using an industry standard high speed serial bus. The ultrasonic imaging system is operable on a standard, commercially available, user computing device without specific hardware modifications, and is adapted to interface with an external application without modification to the ultrasonic imaging system to allow a user to gather ultrasonic data on a standard user computing device such as a PC, and employ the data so gathered via an independent external application without requiring a custom system, expensive hardware modifications, or system rebuilds. An integrated interface program allows such ultrasonic data to be invoked by a variety of such external applications having access to the integrated interface program via a standard, predetermined platform such as visual basic or c++.

Aspects of the technology described herein relate to ultrasound data collection using tele-medicine. An instructor electronic device may generate for display an instructor augmented reality interface and receive, on the instructor augmented reality interface, an instruction for moving an ultrasound imaging device. The instructor augmented reality interface may include a video showing the ultrasound imaging device and a superposition of arrows on the video, where each of the arrows corresponds to a possible instruction for moving the ultrasound imaging device. A user electronic device may receive, from the instructor electronic device, an instruction for moving an ultrasound imaging device, and generate for display, on a user augmented reality interface shown on the user electronic device, the instruction for moving the ultrasound imaging device. The user augmented reality interface may include the video showing the ultrasound imaging device and an arrow superimposed on the video that corresponds to the instruction.

Certain embodiments include an apparatus, system, or method for time-gain compensation control of an ultrasound system. A computer-implemented method can include providing a tactile gain control comprising a near, middle, and far gain control. The middle gain control can be configured for two-dimensional range adjustment of depth and gain. The computer-implemented method can also include adjust at least one of the near, middle, or far gain control. In addition, the computer-implemented method can include displaying an ultrasound image based on at least one of the adjusted near, middle, or far gain control.

A method and system provide for the identification of a tendon in ultrasound imaging data, by deploying an artificial intelligence (AI) model to execute on a computing device, wherein the AI model is trained to identify a plurality of different types of tendons imaged in ultrasound imaging data, and when deployed, the computing device generates a probability for each of the plurality of different types of tendons that the type of tendon is imaged in new ultrasound imaging data and wherein such probability is corroborated by at least one live deployment input.

A control system (10) for controlling a medical imaging device (12) includes: an electronic controller (18) including controller memory (26) and a controller display (24). The electronic controller is operatively connected to control the medical imaging device and programmed to: store a controller state (30) in the controller memory; execute imaging device setup software (38) to cause the electronic controller to provide a setup user interface (28) on the electronic controller via which a user configures the controller state stored in the controller memory; and execute control software (40) to cause the electronic controller to control the medical imaging device to acquire images (36) in accordance with the controller state stored in the controller memory. A remote computer (18′) includes remote computer memory (26′) and a remote computer display (24′). The remote computer not operatively connected to control the medical imaging device and programmed to: receive the controller state from the electronic controller via an electronic network (46) and store the received controller state in the remote computer memory, execute the imaging device setup software to cause the remote computer to provide the setup user interface on the remote computer via which a remote user configures the controller state stored in the remote computer memory thereby creating controller state modifications (30′), and transfer the controller state modifications to the electronic controller. The electronic controller is further programmed to update the controller state stored in the controller memory with the controller state modifications.