Abstract: This application discloses methods, apparatus, and electronic devices for face pose estimation and three-dimensional face reconstruction. The face pose estimation method comprises: acquiring a two-dimensional face image for processing, constructing a three-dimensional face model corresponding to the two-dimensional face image, and determining a face pose of the two-dimensional face image based on face feature points of the three-dimensional face model and face feature points of the two-dimensional face image. With this approach, the face pose estimation is performed based on the three-dimensional face model corresponding to the two-dimensional face image, instead of only based on a three-dimensional average face model. As a result, a high accuracy pose estimation can be obtained even for a face with large-angle and exaggerated facial expressions. Thus, robustness of the pose estimation can be effectively improved.

Abstract: Embodiments of this application disclose a board, an optical module, a media access control (MAC) chip, a digital signal processor (DSP), and an information processing method. The board in the embodiments of this application includes a MAC chip, a DSP, and an equalizer. The MAC chip is configured to send first information to the DSP at an optical network unit (ONU) online stage, where the first information includes a first ONU identifier. The DSP is configured to receive the first information, and determine a first reference equalization parameter, where the first reference equalization parameter is related to the first ONU identifier. The DSP is further configured to set an equalization parameter of the equalizer to the first reference equalization parameter.

Abstract: The application discloses a photonic device, a crossed waveguide, a waveguide layer and a method for manufacturing the same.

Abstract: The embodiments disclose an ultrasound system comprising: a probe configured to obtain ultrasound data relating to a scanning region including at least part of a pleural interface of a lung; and a data analyzer, configured to automatically detect information for determining lung sliding and/or lung point using one or more cross correlation maps derived from the data. The embodiments also disclose a method thereof.

Abstract: A method for aligning spatially different subvolumes of ultrasonic data of a blood vessel comprising: acquiring temporally discrete signals of a blood vessel with elements of a two dimensional array of ultrasonic transducer elements from spatially different depths of scanning opposed by each transducer element, said array being located in a first position with respect to the blood vessel during the acquiring; Doppler processing the temporally discrete signals received from each transducer element to produce spectral Doppler data of the scanning depth opposed by each transducer element; producing a first three dimensional map of the spectral Doppler data in spatial relationship to the position of the array with respect to the blood vessel; acquiring temporally discrete signals of the blood vessel with elements of the two dimensional array of ultrasonic transducer elements from spatially different depths of scanning opposed by each transducer element, said array being located in a second position with respect t

Abstract: The present invention proposes an ultrasound system and a method of detecting lung sliding on the basis of a temporal sequence of ultrasound data frames of a first region of interest. The first region of interest includes a pleural interface of a lung. A sub-region identifier (410) is configured to identify, for each of the ultrasound data frames, a sub-region of a scanned region of the ultrasound data frame, the sub-region comprising at least part of the pleural interface; a lung sliding detector (420) is configured to derive a parametric map for the sub-region on the basis of at least two ultrasound data frames of the temporal sequence, parametric values of the parametric map indicating a degree of tissue motion over the at least two ultrasound frames; wherein the lung sliding detector is further configured to extract data of the sub-regions from the at least two ultrasound data frames, and to derive the parametric map on the basis of the extracted data.

Abstract: An ultrasound exposure safety processor is configured for spatially relating respective definitions of an imaging zone, and an extended dead-tissue zone that includes both a dead-tissue zone and a surrounding margin. Based on whether a push pulse focus is to be within the extended dead-tissue zone, the processor automatically decides a level of acoustic power with which the pulse is to be produced. If the pulse focus is to be within the extended dead-tissue zone, the pulse may be produced with a mechanical index (MI), a thermal index (TI), and/or a spatial-peak-temporal-average intensity (IspTA) that exceeds respectively 1.9, 6.0 and 720 milliwatts per square centimeter. The imaging zone may be definable interactively to dynamically trigger the deciding and the producing, with push pulse settings being dynamically derived automatically. A display of multiple push pulse sites allows user manipulation of spatial definition indicia to dynamically control displacement tracking.

Abstract: Extracorporeal motion (130) relative to a medical subject being imaged is detected, through the imaging or from motion detectors on the imaging probe, and either backed out of the medical images so that it can be determined whether lung sliding exists or measured to determine whether lung sliding detection is to be suspended due to excessive extracorporeal motion. Image sub-regions (164, 168) corresponding to respective ones of the images are selected for image-to-image comparison such that the selected sub-regions contain only body tissue that is, with respect to imaging depth in the acquiring of the images, shallower than an anatomical landmark within the images. Based on a result of the comparing, lung sliding detection that entails examining image data deeper than the landmark may be initialized.

Abstract: A non-imaging diagnostic ultrasound system for carotid artery diagnosis has a two dimensional array probe (10) with a low element count and relatively large element size which can cover an area of the carotid artery at its bifurcation. The elements are operated independently with no phasing, and detect Doppler flow spatially beneath each element. The system produces maps of carotid blood flow in two or three dimensions and can assemble an extended view of the flow by matching segments of the carotid flow as the probe is moved over the vessel. Once the carotid artery has been localized, the degree of stenosis is assessed by automated measurements of peak systolic velocity and blood flow turbulence.

Abstract: This application discloses methods, apparatus, and electronic devices for face pose estimation and three-dimensional face reconstruction. The face pose estimation method comprises: acquiring a two-dimensional face image for processing, constructing a three-dimensional face model corresponding to the two-dimensional face image, and determining a face pose of the two-dimensional face image based on face feature points of the three-dimensional face model and face feature points of the two-dimensional face image. With this approach, the face pose estimation is performed based on the three-dimensional face model corresponding to the two-dimensional face image, instead of only based on a three-dimensional average face model. As a result, a high accuracy pose estimation can be obtained even for a face with large-angle and exaggerated facial expressions. Thus, robustness of the pose estimation can be effectively improved.

Abstract: An ultrasound imaging apparatus (200, 600) may include at least one controller (210, 610) which may be configured to: acquire ultrasound data of an anatomical region-of-interest (ROI), the ultrasound data including at least two frames acquired at different times over an interval of time as a push force is applied to induce movement in the anatomical ROI; determine a correlation between at least two of the acquired frames and form corresponding correlation coefficients; generate a correlation coefficient (CC) map based upon the determined correlation information between the at least two frames; and distinguish fluid from tissue within the CC map based upon a comparison of the correlation coefficients with at least one threshold value.

Abstract: A diagnostic ultrasound system for carotid artery diagnosis has a two dimensional array probe with a low element count and relatively large element size which can cover an area of the carotid artery at its bifurcation. The elements are operated independently with no phasing, and detect Doppler flow spatially beneath each element. The system produces maps of carotid blood flow in two or three dimensions and can assemble an extended view of the flow by matching segments of the carotid flow as the probe is moved over the vessel. Once the carotid artery has been localized, the degree of stenosis is assessed by automated measurements of peak systolic velocity and blood flow turbulence.

Abstract: Ultrasound-based acoustic streaming for deciding whether material is fluid is dependent upon any one or more of a variety of criteria. Examples are displacement, speed, temporal or spatial flow variance, progressive decorrelation, slope or straightness of accumulated signal to background comparisons over time, and relative displacement to adjacent soft tissue. Echogenicity-based area identification is combinable with the above movement characteristic detection in the deciding. Fluid pool identification is performable from the area-limited acoustic streaming testing and ultrasound attenuation readings. Candidates from among the areas are screenable based on specific shapes or bodily organs detected. Natural flow can be excluded from streaming detection by identification of blood vessels. Processing for each FAST ultrasound view, or for the entire procedure, is performable automatically, without need for user intervention or with user intervention to identify suspected areas.

Abstract: An ultrasound imaging apparatus (200, 600) may include at least one controller (210, 610) which may be configured to: acquire ultrasound data of an anatomical region-of-interest (ROI), the ultrasound data including at least two frames acquired at different times over an interval of time as a push force is applied to induce movement in the anatomical ROI; determine a correlation between at least two of the acquired frames and form corresponding correlation coefficients; generate a correlation coefficient (CC) map based upon the determined correlation information between the at least two frames; and distinguish fluid from tissue within the CC map based upon a comparison of the correlation coefficients with at least one threshold value.

Abstract: The present invention proposes an ultrasound imaging system and method for measuring a property of a region of interest in a subject by using shear wave, wherein an ultrasound probe is configured to sequentially transmit, to each of a plurality of focal spots (320, 322, 324) in the region of interest, a push pulse (310, 312, 314) for generating a shear wave (330, 332, 334), each of the plurality of focal spots having a mutually different depth value (z1, z2, z3), and to receive ultrasound echo signals adjacent (350, 352, 354) to each of the plurality of focal spots; a shear wave detector is configured to derive, for each of the plurality of focal spots, a first parameter indicating a property of the generated shear wave, based on the received ultrasound echo signals; and a property estimator is configured to estimate a second parameter indicating the property of the region of interest as a function of the derived first parameters.

Abstract: An ultrasound system and method enable ultrasonic imaging by inexperienced personnel at the home of a patient under the guidance of a remotely located diagnostic imaging expert. Improper use of the scanning device is prevented by allowing the remotely located imaging expert to enable or disable the transmission of ultrasound energy by the ultrasound system. Other functions of the ultrasound system may also be controlled by the remotely located expert, such as determining whether acquired ultrasound images can be viewed locally on the ultrasound system.

Abstract: The embodiments disclose an ultrasound system comprising: a probe configured to obtain ultrasound data relating to a scanning region including at least part of a pleural interface of a lung; and a data analyzer, configured to automatically detect information for determining lung sliding and/or lung point using one or more cross correlation maps derived from the data. The embodiments also disclose a method thereof.

Abstract: The embodiments disclose an ultrasound system comprising: a probe configured to obtain ultrasound data relating to scanning region including at least part of a pleural interface of a lung; and a data analyzer, configured to automatically detect information for determining lung sliding and/or lung point using one or more cross correlation maps derived from the data. The embodiments also disclose a method thereof.

Abstract: Ultrasound motion-estimation includes issuing multiple ultrasound pulses, spaced apart from each other in a propagation direction of a shear wave, to track axial motion caused by the wave. The wave has been induced by an axially-directed push. Based on the motion, autocorrelation is used to estimate an axial displacement. The estimate is used as a starting point (234) in a time-domain based motion tracking algorithm for modifying the estimate so as to yield a modified displacement. The modification can constitute an improvement upon the estimate. The issuing may correspondingly occur from a number of acoustic windows, multiple ultrasound imaging probes imaging respectively via the windows. The autocorrelation, and algorithm, operate specifically on the imaging acquired via the pulses used in tracking the motion caused by the wave that was induced by the push, the push being a single push.

Abstract: The present invention proposes an ultrasound system and a method of detecting lung sliding on the basis of a temporal sequence of ultrasound data frames of a first region of interest. The first region of interest includes a pleural interface of a lung. A sub-region identifier (410) is configured to identify, for each of the ultrasound data frames, a sub-region of a scanned region of the ultrasound data frame, the sub-region comprising at least part of the pleural interface; a lung sliding detector (420) is configured to derive a parametric map for the sub-region on the basis of at least two ultrasound data frames of the temporal sequence, parametric values of the parametric map indicating a degree of tissue motion over the at least two ultrasound frames; wherein the lung sliding detector is further configured to extract data of the sub-regions from the at least two ultrasound data frames, and to derive the parametric map on the basis of the extracted data.