The present invention related to an ultrasound imaging system win which the scan head includes a beamformer circuit that performs far field subarray beamforming or includes a sparse array selecting circuit that actuates selected elements. When using a hierarchical two-stage or three-stage beamforming system, three dimensional ultrasound images can be generated in real-time. The invention further relates to flexible printed circuit boards in the probe head. The invention furthermore related to the use of coded or spread spectrum signaling in ultrasound imagining systems. Matched filters based on pulse compression using Golay code pairs improve the signal-to-noise ratio thus enabling third harmonic imaging with suppressed sidelobes. The system is suitable for 3D full volume cardiac imaging.

An information processing device that includes: an image acquisition unit that acquires a catheter image obtained by an image acquisition catheter inserted into a first cavity; and a first classification data output unit configured to input the acquired catheter image to a first classification trained model that, upon receiving input of the catheter image, outputs first classification data in which a non-biological tissue region including a first inner cavity region that is inside the first cavity and a second inner cavity region that is inside a second cavity where the image acquisition catheter is not inserted and a biological tissue region are classified as different regions, and outputs the first classification data, in which the first classification trained model is generated using first training data that indicates at least the non-biological tissue region including the first inner cavity region and the second inner cavity region and the biological tissue region.

The present disclosure relates to the field of ultrasonic detection, in particular to a craniocerebral ultrasonic standard plane imaging and automatic detection and display method for abnormal regions. The following technical solution is adopted: contour detection is performed on the scanned ultrasound images the skull to construct a skull surface model, and the standard planes in ultrasound images are identified and extracted according to the skull surface model. The symmetry of the standard planes in ultrasound images is used to compare the similarity, so as to obtain the abnormal regions for segmentation and display. The advantages of the present disclosure are as follows: the skull surface model is constructed by detecting the cranial edge, and the coordinate system is established based on this model, thereby the standard planes in ultrasound images can be quickly identified from the scanned ultrasound images.

An ultrasound diagnosis apparatus including: an ultrasound probe having a transducer array; and a processor configured to: perform transmission and reception of an ultrasonic beam from the transducer array toward a subject, into which contrast media including microbubbles is introduced; image a reception signal output from the transducer array to generate an ultrasound image of the subject; acquire trajectories of the microbubbles in a one cross section of the subject by tracking movement of the microbubbles based on the ultrasound image corresponding to the one cross section of the subject; detect, as a feature point, a trajectory, in which a distance between a start point and an end point in a prescribed time range is less than a prescribed value, among the trajectories of the microbubbles; and display the ultrasound image, the acquired trajectories and the detected feature point on the display unit.

An ultrasound diagnostic apparatus and a control program for an ultrasound diagnostic apparatus. According to an embodiment, the ultrasound diagnostic apparatus includes an ultrasound probe that transmits and receives ultrasound waves to and from a subject in three dimensional space, a position sensor, and a processor. The processor is configured to determine whether or not a first region and a second region configure the same three dimensional region across a first scanning surface and a second scanning surface. The processor is configured to perform, based on the determining result, processing to obtain information representing the size of the three dimensional region in a direction intersecting the first scanning surface and the second scanning surface. The processor is configured to perform control for notifying the information.

A system for visualization and quantification of ultrasound imaging data may include a display unit, and a processor communicatively coupled to the display unit and to an ultrasound imaging apparatus for generating an image from ultrasound data representative of a bodily structure and fluid flowing within the bodily structure. The processor may be configured to generate vector field data corresponding to the fluid flow, wherein the vector field data comprises axial and lateral velocity components of the fluid, extract spatiotemporal information from the vector field data at one or more user-selected points within the image, and cause the display unit to concurrently display the spatiotemporal information at the one or more user-selected points with the image including a graphical representation of the vector field data overlaid on the image, wherein the spatiotemporal information includes at least one of a magnitude and an angle of the fluid flow.

According to one embodiment, an analysis apparatus includes processing circuitry. The processing circuitry configured to generate a harmonic signal and a fundamental wave signal based on a reception signal that is collected by an ultrasound probe, the harmonic signal corresponding to a harmonic component of a reflected wave of a ultrasound generated in the subject, the fundamental wave signal corresponding to a fundamental wave component of the reflected wave, calculate a first index value indicating tissue properties of the subject based on the harmonic signal, and calculate a second index value indicating the tissue properties based on the fundamental wave signal, and display an analysis result based on the first index value and the second index value.

The invention provides a method for performing an assessment of a placenta. The method includes obtaining a 3D ultrasound image of a uterus (210) and segmenting the placenta (220). A 3D rendering (200) of the uterus is then generated, wherein the generating includes: identifying a position of the placenta within the uterus with respect to an anatomical structure such as the cervix (250); obtaining anatomical reference data relating to a potential risk associated with the position of the placenta within the uterus; and comparing the position of the placenta and the anatomical reference data. A 3D rendering of the uterus is generated that comprises a 3D rendering of the placenta, marked with an indicator that is altered based on the comparison of the position of the placenta and the anatomical reference data. The appearance of the indicator may vary according to e.g. risk type/severity.

An ultrasound probe captures real-time images of patient anatomy, which are analyzed by a processor to extract salient features pertaining to an anatomical structure. By tracking the location and orientation of the ultrasound probe, a model of that anatomical structure can be created. A visual indication of the position of segments of the anatomical structure can be presented holographically to a user of an augmented reality headset to provide information extracted from the ultrasound imaging, such as holographic display of a model of the anatomical structure at the approximate location of the visual field of the headset corresponding to the physical location of the actual anatomy being viewed by a user, without presenting the entirety of the ultrasound image to the user.

A non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process, an information processing apparatus, and a model generation method that outputs complication information for a medical treatment. The process includes acquiring a medical image obtained by imaging a lumen organ of a patient before treatment, inputting the acquired medical image into a trained model so as to output complication information on a complication that is likely to occur after the treatment when the medical image is received, and outputting the complication information. Preferably, complication information including a type of the complication that is likely to occur and a probability value indicating an occurrence probability of the complication of the type is output.