A noise source visualization data accumulation and display device is provided where at two or more acoustic data are generated by beamforming acoustic signals acquired at different moments by using a plurality of microphone arrays and thereafter, one selected among two or more acoustic data or acoustic data processed therefrom is mapped to one optical image to be displayed.

There are provided an ultrasound image generating apparatus, which generates a high-quality ultrasound image even in a deep portion of a subject, and a control method thereof. In an ultrasound image (Img), for a portion (Ar1) equal to or less than a depth threshold value (D1), a real scanning line (L1) obtained from an acoustic wave echo signal is used. In the ultrasound image (Img), for a portion (Ar2) deeper than the depth threshold value (D1), an interpolation scanning line (L2) located between the real scanning lines (L1) is generated from an acoustic wave echo signal having a positional deviation between a focusing position of ultrasound waves and an observation target position. Also for a portion deeper than the interpolation scanning line (L2), a high-quality ultrasound image (Img) is obtained.

In some embodiments, ultrasound receive beamforming yields beamformed samples, based upon which spatially intermediate pixels (232, 242, 244) are dynamically reconstructed. The samples have been correspondingly derived from acquisition through respectively different acoustic windows (218, 220). The reconstructing is further based on temporal weighting of the samples. In some embodiments, the sampling is via synchronized ultrasound phased-array data acquisition from a pair of side-by-side, spaced apart (211) acoustic windows respectively facing opposite sides of a central region (244) to be imaged. In particular, the pair is used interleavingly to dynamically scan jointly in a single lateral direction in imaging the region. The acquisition in the scan is, along a synchronization line (222) extending laterally across the region, monotonically progressive in that direction. Rotational scans respectively from the window pair are synchronizable into a composite scan of a moving object. The synchronization line (222) can be defined by the focuses of the transmits. The progression may strictly increase.

The present disclosure provides an ultrasound imaging system comprising an array of transducer elements, a plurality of receive circuits configured to provide one or more output signals, a plurality of delay circuits configured to output one or more delayed signals, and at least one multi-channel beamformer configured to (i) receive representations of a plurality of microbeamformed signals and (ii) output at least one representation of a beamformed signal. The plurality of microbeamformed signals may represent a combination of delayed signals from the plurality of delay circuits. The plurality of delay circuits may be characterized by a plurality of time delay values. The plurality of time delay values may be controllable or adjustable such that one or more points-of-focus characterizing the microbeamformed signals can move along a line of sight.

An interlaced data acquisition scheme is employed in an ultrasound imaging device to reduce the amount of electrical power consumed by the device's transmit firings when collecting video data. Reducing electrical consumption according to the present disclosure reduces battery size, weight and cost; reduces heat generation; reduces need for heat-dissipating materials in the probe and prolongs probe uptime. A reconstruction algorithm is employed to produce images from the interlaced data that are comparable in quality to videos that would be obtained by a conventional (non-interlaced) image acquisition.

Ultrasound imaging devices, systems, and methods are provided. In one embodiment, an ultrasound imaging system comprising a processor configured to receive ultrasound channel data representative of a subject's anatomy generated from an ultrasound transducer; apply a predictive network to the ultrasound channel data to generate an image of the subjects anatomy; and output, to a display in communication with the processor, the image of the subjects anatomy. In one embodiment, a system for generating an image, the system comprising a memory storing at least one machine learning network; and a processor in communication with the memory, the processor configured to receive raw channel data generated from an ultrasound transducer; apply the machine learning network to the raw channel data to replace one or more image processing steps, thereby generating modified data; and generate an image using the modified data.

There are provided an ultrasound image generating apparatus, which generates a high-quality ultrasound image even in a deep portion of a subject, and a control method thereof. In an ultrasound image (Img), for a portion (Ar1) equal to or less than a depth threshold value (D1), a real scanning line (L1) obtained from an acoustic wave echo signal is used. In the ultrasound image (Img), for a portion (Ar2) deeper than the depth threshold value (D1), an interpolation scanning line (L2) located between the real scanning lines (L1) is generated from an acoustic wave echo signal having a positional deviation between a focusing position of ultrasound waves and an observation target position. Also for a portion deeper than the interpolation scanning line (L2), a high-quality ultrasound image (Img) is obtained.

Disclosed is a single ultrasound imaging probe 101 comprising a single ultrasound transducer array 103 comprising a first array segment 201 comprising a K plurality of ultrasound transducer elements 103a and an orthogonally arranged second array segment 202 comprising an M plurality of ultrasound transducer elements 103b such that the first array segment 201 and the second array segment 202 comprise a K plurality of ultrasound transducer elements 103a plus an M plurality of ultrasound transducer elements 103b which are electrically connected to provide for the simultaneous display of a scan-converted transverse view ultrasound image and of a scan-converted longitudinal view ultrasound image in a video display 406 of a target scan region for three-dimensional alignment, guided by a projected light beam, of an exterior device in order to access an interior structure below the exterior target region.

An ultrasound imaging system (100) includes at least first and second arrays (108) of transducer elements, which are angularly offset from each other in a same plane. Transmit circuitry (112) excites the first and second arrays to concurrently transmit over a plurality of angles. Receive circuitry (114) controls the first and second arrays to concurrently receive echo signals over the plurality of angles. An echo processor (116) processes the received signals, producing a first data stream for the first array and a second data stream for the second array. The first and second data streams include digitized representations of the received echo signals. A sample matcher (118) compares samples of the first and second data streams and determines a cross-correlation there between. A correlation factor generator (120) that generates a correlation factor signal based on the determined cross-correlation. A scan converter (122) generates a 3D image for display based on the correlation factor signal and the first and second data streams.

An ultrasound imaging system (100) includes at least first and second arrays (108) of transducer elements, which are angularly offset from each other in a same plane. Transmit circuitry (112) excites the first and second arrays to concurrently transmit over a plurality of angles. Receive circuitry (114) controls the first and second arrays to concurrently receive echo signals over the plurality of angles. An echo processor (116) processes the received signals, producing a first data stream for the first array and a second data stream for the second array. The first and second data streams include digitized representations of the received echo signals. A sample matcher (118) compares samples of the first and second data streams and determines a cross-correlation there between. A correlation factor generator (120) that generates a correlation factor signal based on the determined cross-correlation. A scan converter (122) generates a 3D image for display based on the correlation factor signal and the first and second data streams.