The present disclosure relates to the technical field of image processing, in particular to an ultrasound imaging device and system and a breast ultrasound apparatus. The ultrasound imaging device includes: a memory and a processor, the memory storing at least one program instruction, and the processor loading and executing the at least one program instruction to implement the following steps: transmitting ultrasound pulses and receiving n echo signals in an interleaved transmission and reception manner, wherein n is an integer greater than 1; acquiring a differential signal d(t) of the n echo signals; performing amplitude detection on the n echo signals to obtain an envelope of each echo signal, and acquiring a sum B(t) of the envelopes of the echo signals; calculating image gray intensity of the blood flow imaging mode according to the d(t) and B(t); acquiring B-mode ultrasound echo data; and performing scan conversion on the B-mode ultrasound echo data and the calculated image gray intensity of the blood flow imaging mode, and displaying an ultrasound image according to a conversion result. In this way, the problem of artifacts in the ultrasound image in the prior art is solved. The present disclosure can be used to scan the breast and other organs and tissues.

An ultrasonic imaging system including an array transducer that includes a plurality of elements each performing at least one of emission or reception of ultrasonic waves, at least some of the plurality of elements being disposed so as to face each other. The ultrasonic imaging system performs malfunction inspection including specifying one emitting element among emitting elements that emit ultrasonic waves and a group of receiving elements that are at least some of the plurality of elements and that receive transmitted waves emitted from the emitting element and transmitted through an imaging region; collecting measurement data of the transmitted waves via the group of receiving elements while switching the emitting element; calculating transfer characteristic values from the measurement data; and detecting a malfunctioning element among the plurality of elements on the basis of the transfer characteristic values.

During acquisition of an ultrasound image feed, ultrasound control data frames are acquired that may be interspersed amongst the ultrasound data frames. The control data frames may use consistent reference scan parameters, irrespective of the scanner settings, and may not need to be converted to image frames. The control data frames can be passed to an artificial intelligence model, which predicts the suitable settings for scanning the anatomy that is being scanned. The artificial intelligence model can be trained with a dataset containing different classes of ultrasound control data frames for different settings, where substantially all the ultrasound control data frames in the dataset are consistently acquired using the reference scan parameters.

A method of identifying a location of a region of interest within a breast utilizes compressed location coordinates for the region of interest recorded while the breast is under compression during an x-ray imaging procedure such as mammography or tomosynthesis. The compressed location coordinates are converted to uncompressed location coordinates using a mathematical tissue deformation model. The volume and density of the breast affects how the coordinates are translated for use with an ultrasound imaging system. A system including a computing system in communication with an ultrasound imaging system is utilized to perform the method. The resultant predicted location coordinates of the region of interest are used to guide a healthcare provider to potential lesions that are to be examined using ultrasound, where the potential lesions had been previously identified during a screening mammogram.

A method of analyzing an image of a volume of tissue to determine a risk of developing breast cancer using a volume averaged sound speed within the volume. A method of determining a response to a treatment plan by determining a volume and a volume averaged sound speed of a region of interest within a volume of breast tissue and generating a combined metric from the volume and the volume averaged sound speed over the plurality of instances of time. A method of analyzing an image of a volume of tissue of a breast by applying a spatial filter to at least one ultrasound tomography image at the computing system and generating a stiffness map from the at least one ultrasound tomography image.

The present disclosure is related to an imaging system. The imaging system may include at least one array radiation source and a detector. Each of the at least one array radiation source may include a plurality of point radiation sources. The at least one array radiation source may be configured to emit at least one radiation beam. The detector may be configured to detect at least part of the at least one radiation beam.

A breast composition information acquisition unit acquires information related to a breast composition of a subject obtained by a mammography examination. An analysis determination unit determines whether or not to perform analysis on a glandular tissue component (GTC) region including mammary ducts, lobules, and peripheral stromata in a mammary gland region based on the information related to the breast composition of the subject. A GTC region analysis unit performs analysis on the GTC region based on an ultrasound image obtained by imaging a breast of the subject in a case where it is determined to perform analysis.

An ultrasound diagnostic apparatus includes an image acquisition unit that acquires an ultrasound image in which a breast of a subject is captured; a sampling target region detection unit that detects a sampling target region in which a tissue is sampled from the subject by a tissue sampling needle on the basis of the ultrasound image; a recommended path calculation unit that calculates a recommended path of the tissue sampling needle passing through the sampling target region; a monitor that displays the ultrasound image and the recommended path in a superimposed manner; a needle detection unit that detects the pierced tissue sampling needle on the basis of the ultrasound image; and a needle passage determination unit that determines whether or not the pierced tissue sampling needle has passed through the sampling target region.

A mammary gland region detection unit detects a mammary gland region from an ultrasound image obtained by imaging a breast of a subject. A glandular tissue component (GTC) region extraction unit extracts a GTC region including mammary ducts, lobules, and peripheral stromata in the mammary gland region from an ultrasound image. A GTC region ratio calculation unit calculates a ratio of the GTC region to the mammary gland region, and the calculated ratio is displayed on a monitor.

Provided in the present application is an ultrasonic probe, including: an ultrasonic transducer configured to send/receive an ultrasonic signal; a housing including a top plate and a side wall that collectively define a cavity with an opening located below the cavity, wherein a top portion of the ultrasonic transducer is configured to be accommodated in the cavity via the opening; and an elastic element accommodated in the cavity, the elastic element being connected to the top portion of the ultrasonic transducer and the top plate of the housing, and the elastic element being configured to provide an elastic force to the ultrasonic transducer to enable part of the ultrasonic transducer to retract and spring back within the cavity. Further provided in the present application are a scanning assembly including the ultrasonic probe and an ultrasonic imaging device including the scanning assembly.