Disclosed are systems and methods using ultrasound to predict if a patient's cardiac stroke volume will increase with a fluid bolus. Ultrasound measures are taken before administering a fluid bolus, including measurement of the left ventricular outflow tract velocity time integral (LVOT VTI), and venous measurements of the internal jugular vein. Data collected from such ultrasound scan is then used to predict the patient's cardiac volume response in the event that a fluid bolus is administered to that patient.

Ultrasound imaging system, devices, and methods for minimizing grating lobe artefacts in an ultrasound image are provided. For example, an ultrasound imaging system can include an array of acoustic elements and a processor in communication with the array. The processor controls the array to activate a plurality of apertures and subapertures in a scan sequence, generate an image comprising a plurality of pixels, identify at least one subaperture of the plurality of subapertures corresponding to a reduced signal value for one or more pixels of the image, and generate a grating-lobe-minimized image based on the identified subapertures. The grating-lobe-minimized image can be output to a display or combined with the original ultrasound image to include image features lost or reduced in the grating-lobe-minimized image. The grating-lobe-minimized image advantageously reduces image artefacts and clutter to simplify ultrasound image analysis and diagnosis procedures.

An apparatus for correcting a posture of an ultrasound scanner for artificial intelligence-type ultrasound self-diagnosis, includes an ultrasound scanner including an ultrasound probe configured to acquire and transmit an ultrasound image of a patient; a mapper configured to acquire a body map of the patient in which a plurality of virtual interested organs is arranged on a body image; a scanner navigator configured to calculate current position coordinates of the ultrasound scanner on the body map and the ultrasound image; augmented reality glasses configured to display the ultrasound image and a virtual object image; and a processor configured to determine whether the patient has a disease and a risk degree of the disease based on an artificial neural network result of an implemented deep learning neural network trained on ultrasound training images provided with the ultrasound image.

The tissue removal device using focused ultrasound includes a focused ultrasound output unit, a mode setting unit to set an output mode of the focused ultrasound, and a control unit to control output characteristics of the focused ultrasound according to the set mode, wherein the output mode is selected from a first mode for removing a tissue in a local area using a vapor bubble formed by the focused ultrasound, a second mode for removing a tissue in a narrower area than the first mode by controlling the output characteristics of the focused ultrasound immediately after the vapor bubble is formed by the focused ultrasound, and a third mode for obtaining a skin tightening effect by generating heating in a subcutaneous fat layer using focused ultrasound of lower intensity and a longer pulse length than the first mode and the second mode.

Ultrasound image devices, systems, and methods are provided. In one embodiment, an intraluminal ultrasound imaging system includes a patient interface module (PIM) in communication with an intraluminal imaging device comprising an ultrasound imaging component, the PIM comprising a processing component configured to detect device information associated with the intraluminal imaging device, the device information identifying an ultrasound attribute associated with the ultrasound imaging component; and determine a waveform for ultrasound wave emissions at the ultrasound imaging component based on the identified ultrasound attribute; and a trigger signal generation component in communication with the processing component and configured to generate a trigger signal based on the determined waveform to control the ultrasound wave emissions at the ultrasound imaging component.

A system and method for acquiring standard ultrasound scan plane views is provided. The method includes acquiring a scan plane by an ultrasound probe positioned at a scan position over a region of interest. The method includes identifying the scan plane as a first standard view. The method includes automatically adjusting a scan acquisition angle until a second standard view is determined. The adjusting the scan acquisition angle includes rotating and/or tilting the scan acquisition angle. The method includes acquiring, by the ultrasound probe positioned at the scan position, an additional scan plane at the adjusted scan acquisition angle until the second standard view is determined. The method includes automatically determining whether the additional scan plane is the second standard view. The method includes presenting the additional scan plane having the second standard view at a display system.

An ultrasonic probe according to an embodiment comprises an ultrasonic-transducer element array, an offset and an exterior member. The ultrasonic-transducer element array is formed by a plurality of ultrasonic transducer elements. The offset is provide on an ultrasonic-transmitting and receiving side of the ultrasonic-transducer element array and includes a contact portion with a subject. The exterior member supports the offset. The offset has at least a first region that is formed by a curved surface having a first curvature and arranged in the middle of the contact portion and a second region that is formed by a curved surface having a second curvature greater than the first curvature and arranged on an edge of the contact portion.

An ultrasound diagnostic apparatus (1) includes a urinary bladder extraction unit (9), a feature quantity calculation unit (10), a failed frame determination unit (16), a rescan determination unit (17), a rescan recommendation unit (19), a measurement frame selection unit (12), and a urine volume measurement unit (13). The urinary bladder extraction unit (9) extracts a urinary bladder region from an ultrasound image. The feature quantity calculation unit (10) calculates a feature quantity of the urinary bladder region. The failed frame determination unit (16) determines whether the ultrasound image is of a failed frame for which a scan with an ultrasonic beam has failed. The rescan determination unit (17) determines whether a rescan with an ultrasonic beam is needed based on a time-series change in the feature quantity and a time-series position of the failed frame. The rescan recommendation unit (19) recommends the rescan with the ultrasonic beam to the user if the rescan with the ultrasonic beam is determined to be needed. The measurement frame selection unit (12) selects an ultrasound image of a measurement frame based on the feature quantity. The urine volume measurement unit (13) analyzes the ultrasound image of the measurement frame to measure a urine volume.

An ultrasound system is disclosed that includes an ultrasound imaging device including a display screen, a processor and memory having stored thereon logic, and an ultrasound probe. The logic of the ultrasound imaging device, upon execution by the processor, can causes an alteration of content displayed on the display screen in accordance of with ultrasound probe movement-related data. The ultrasound imaging device can include a light source configured to provide incident light to the optical fiber cable, the optical fiber cable including a plurality of reflective gratings disposed along a length thereof. Each of the plurality of reflective gratings can be configured to reflect light with different specific spectral widths to provide distributed measurements in accordance with strain applied to the optical fiber cable. The ultrasound imaging device can obtain the ultrasound probe movement-related data through an optical fiber.

The present embodiments relate generally to systems and methods for ultrasound imaging. The methods may involve: establishing a wireless network between an ultrasound imaging device and a display device; acquiring ultrasound image data using ultrasound acquisition parameters; transmitting the ultrasound image data from the ultrasound imaging device to the display device over the wireless network; receiving the ultrasound image data; measuring a quality of service parameter of the received ultrasound image data; determining whether the measured quality of service parameter is less than an expected quality of service parameter, the expected quality of service parameter being determined based on the ultrasound acquisition parameters used to acquire the ultrasound image data; and in response to determining that the measured quality of service parameter is less than the expected quality of service parameter, adjusting a network parameter of the wireless network to reduce network traffic on the wireless network.