A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.

An application running in a mobile device displays an ultrasound image obtained by a connected ultrasound scanner. A button is displayed on the device, which, when activated, automatically connects the device to a remote reviewer in a virtual videoconferencing room, without the operator of the scanner needing to input user credentials. Upon activating the button, or otherwise triggering the request for a review, pre-stored login credentials are automatically retrieved and used for connecting the operator to the room. The remote reviewer may be connected to the room upon accepting the request for review, without having to input user credentials, which are pre-stored and automatically retrieved.

The present disclosure discloses methods, systems, and computer readable mediums for ultrasonic imaging. The method may include determining a target imaging mode according to information related to one or more imaging demands. The method may further include obtaining a target imaging result by performing an imaging operation according to the target imaging mode, wherein the one or more imaging demands may at least include a demand related to an imaging quality and/or a frame rate, the target imaging mode may include a first target imaging mode and/or a second target imaging mode, the first target imaging mode may be configured to perform an optimized imaging for a local imaging region, and/or the second target imaging mode may be configured to utilize a hybrid wave with at least two transmission beam types and/or at least two transmission frequencies for imaging.

Ultrasound images are adjusted according to the size of the display area available to display them, so that image detail is displayed with a large enough physical size to discern comfortably. A translation ratio is determined for translating the physical distance traversed by the ultrasound signals of an ultrasound images to a corresponding physical distance on a screen of the display device. If the ratio is not below a threshold, the image is displayed in full. If the ratio is below the threshold, the image is cropped, optionally scaled, and displayed in the available area. Scaling and cropping may be based on window size and threshold window size. The parameters of the ultrasound scan may be controlled based on the scaling, cropping, or available screen size. User interface features may be displayed on the screen depending on how much area is available when the image is displayed.

The present embodiments relate generally to systems and methods for securing operation of an ultrasound scanner for use with a multi-use electronic display device. In some embodiments, the multi-use electronic display device can control whether the ultrasound scanner is permitted to generate ultrasound image data for display based on an institution affiliation status of the ultrasound scanner retrieved from a server. In some embodiments, the multi-use electronic display device can control whether the ultrasound scanner is permitted to generate ultrasound image data for display based on whether a digital certificate provided by a server is successfully validated.

A device is provided for diagnostic measurement by simultaneous multimodal analysis of a subject's head wherein the cerebral blood flow variations as well as the concentration level of oxygenation in the subject's blood are used to determine the presence and the pathophysiology of neurocognitive disorders, including the neurodegenerative disease referred to as Alzheimer's disease.

Systems and methods are disclosed for remotely controlling a main processing console of an ultrasound system. In various embodiments, an ultrasound remote controller can be used to remotely control a main processing console of an ultrasound system. The ultrasound remote controller can include a user interface controller configured to provide one or more ultrasound control functions to a user remote from the main processing console. The control functions can be used to remotely control operation of the main console. Further, the user interface controller can be configured to receive input for the one or more ultrasound control functions from the user. The ultrasound remote controller can include a communication interface configured to transmit operational instructions to the main processing console for remotely controlling the operation of the main processing console through the ultrasound remote controller based on the user input for the one or more ultrasound control functions.

Optical whispering gallery mode (WGM) resonator-based acoustic sensors, imaging systems that make use of the acoustic sensors, and methods of detecting ultrasound waves using the acoustic sensors are disclosed.

Described here are systems and methods for ultrasound clutter filtering to produce images of blood flow in a subject. The systems and methods described in the present disclosure may be advantageously applied to fast ultrasound imaging techniques, including ultrafast plane wave imaging techniques.

The present disclosure discloses an ultrasonic imaging method. The ultrasonic imaging method may include: obtaining emitting instructions for emitting a plurality of ultrasonic waves, gaining instructions, receiving instructions, and idle instructions relating to the plurality of ultrasonic waves, and storing the emitting instructions, the receiving instructions, the gaining instructions, and the idle instructions in a ring buffer; obtaining the emitting instructions from the ring buffer, and emitting the plurality of ultrasonic waves based on the emitting instructions; obtaining a gaining instruction and a receiving instruction corresponding to each emission of the plurality of ultrasonic waves from the ring buffer, and obtaining at least one enhanced echo signal based on the gaining instructions and the receiving instructions; and obtaining the idle instructions from the ring buffer, and processing the at least one enhanced echo signal based on the idle instructions to obtain a target ultrasonic image.