In one embodiment, a supervisory service for a wireless network obtains frequency-time Doppler profile information for an endpoint node attached to a first access point in the wireless network. The supervisory service uses the frequency-time Doppler profile information for the endpoint node as input to a machine learning model. The machine learning model is trained to output an action for the endpoint node with respect to the wireless network. The supervisory service causes the action for the endpoint node with respect to the wireless network to be performed.

Performing retrospective dynamic transmit focusing beamforming for ultrasound signals by a) transmitting plural transmit beams, each transmit beam centered at a different position along array, having width or aperture encompassing plural laterally spaced line positions, each transmit beam width or aperture overlapping width or aperture of adjacent transmit beam or more laterally spaced transmit beams; b) receiving echo signals; c) processing echo signals to produce plural receive lines of echo signals at laterally spaced line positions within width or aperture of transmit beam; d) repeating steps b), (c) for additional transmit beams of plural transmitted transmit beams; e) equalizing phase shift variance among receive lines at common line position resulting from transmit beams of different transmit beam positions concurrently with steps c), d); f) combining echo signals of receive lines from different transmit beams spatially related to common line position to produce image data; g) produces an image using image data.

A blood-vessel recognition blood-flow measurement method including: obtaining a real-time Doppler spectrum by performing a Fourier transform on a temporal waveform of the intensity of scattered light of laser light in a living body; calculating a normalized real-time Doppler spectrum and a normalized zero spectrum; calculating a region spectrum from a subtracted spectrum that is calculated through subtraction of these calculated spectra; calculating a PS reference spectrum by subtracting, from the region spectrum, the maximum value of the region spectrum in a predetermined PS reference region; calculating an average frequency on the basis of a computational spectrum that is obtained by replacing an element of which the PS reference spectrum is negative with zero; and determining a blood flow velocity by comparing the calculated average frequency with a predetermined threshold.

An ultrasonic diagnosis apparatus includes a position detector, and control circuitry. The position detector detects a position in a three-dimensional space of one of an ultrasonic image and an ultrasonic probe. The control circuitry uses a vivisection view defined in a three-dimensional space. The control circuitry associates a structure related to a subject included in the ultrasonic image with a structure included in the vivisection view using a position and orientation in a first three-dimensional coordinate system of the structure related to the subject included in the ultrasonic image and a position and orientation in a second three-dimensional coordinate system of the structure included in the vivisection view.

The present invention relates to the field of ultrasounds and imagining of the coronary blood flow of the heart. Patients with coronary microvascular dysfunction (CMD) have poor prognostic with significantly higher rates of cardiovascular events, including hospitalization for heart failure, sudden cardiac death, and myocardial infarction (MI). Despite the urgent clinical need, there are no non-ionizing and non-invasive techniques available in clinic to directly visualize the coronary microvasculature and assess the local coronary microvascular system. Flow imaging remains a difficult task to perform in the heart because of the fast movements of this organ. In order to overcome the limitations of actual imaging methods for the coronary blood flow, the inventors proposed an ultrasound ultrafast imaging method that automatically detect the time periods in which the myocardium velocity is low and estimate the coronary flow velocity and the tissue velocity from the same data acquisition.

An ultrasound system includes a transducer array configured to generate analog ultrasound signals. The system includes one or more analog-to-digital converters (ADCs) in communication with the transducer array. The ADCs is configured to convert the analog ultrasound signals to digital ultrasound signals. The system includes a processor circuit in communication with the ADCs. The processor circuit includes digital in-phase/quadrature (I/Q) mixers configured to generate digital continuous wave (CW) Doppler signals based on the digital ultrasound signals. The processor circuit is configured to process the digital CW Doppler signals, generate a graphical representation of a distribution of blood flow velocities over a plurality of cardiac cycles, and output the graphical representation to a display in communication with the processor circuit.

A medical diagnostic imaging system and method for adjusting image gain compensation when changing from a first imaging state to a second imaging state, where a first image power value is determined from an image acquired in a first imaging state with a first image gain compensation, a second image power value is determined from an image acquired in a second imaging state with an initial second image gain compensation, an image power change value is determined from the first image power value and the second image power value, and an adjusted second image gain compensation calculated from the initial second image gain compensation and the image power change value.

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++.

A medical system includes an ultrasound probe configured for insertion into an organ of a body, and a processor. The probe includes a two-dimensional (2D) ultrasound transducer array, and a sensor configured to output signals indicative of a position, direction and orientation of the 2D ultrasound transducer array inside the organ. The processor is configured to (a) using the signals output by the sensor, register multiple ultrasound images of a tissue region, acquired over a given time duration by the 2D ultrasound transducer array, with one another, (b) estimate, based on the ultrasound images acquired over the given time duration, three-dimensional displacements as a function of time for one or more locations in the tissue region, (c) estimate respective mechanical strains of the one or more locations in the tissue region, based on the three-dimensional displacements, and (d) present a time-dependent rendering of the mechanical strains to a user.

A clutter signal mixed in a blood flow signal is reduced in a color Doppler, and blood flow visibility is improved. A combination of parameters that maximize a difference between a blood flow and a clutter (a signal other than the blood flow) is determined by analyzing a reception signal, a clutter estimated value (a value indicating a degree of being estimated as a clutter) is set based on the combination, and a reduction coefficient map (hereinafter, simply referred to as a reduction map) that reduces a clutter signal is generated based on the estimated value. The clutter signal is reduced by multiplying the reception signal (an IQ signal after quadrature detection) by the reduction map.