An ultrasound signal processor that selectively drives a plurality of transducer elements arrayed in an ultrasound probe and executes ultrasound transmission and reception to a subject to perform velocity analysis by a color flow mapping method includes: a transmitter configured to select a transmission transducer element array from the plurality of transducer elements and perform transmission from the transmission transducer element array; a receiver configured to generate a received signal sequence for a transducer element of a reception transducer element array; a phasing adder configured to generate an acoustic line signal; and a velocity calculator configured to generate a complex acoustic line signal and calculate an average velocity, wherein the phasing adder performs delay processing for changing a method for calculating a transmission time in which the ultrasound transmitted reaches each of the observation points in at least one of the main target area and the sub-target area.

With a detector in which detection elements are placed in a spherical shape, a uniform resolution area is narrow. An acoustic-wave acquisition apparatus is equipped with a detector including a plurality of detection elements that receive acoustic waves from a subject, the receiving surfaces of at least some of the detection elements being at different angles. The apparatus includes a scanning unit configured to move at least one of the subject and the detector to change the relative position of the subject and a highest-resolution area determined depending on the placement of the detection elements.

Ultrasound image recognition systems and methods, and artificial intelligence training networks for such systems and methods, are provided. An ultrasound data information system includes an ultrasound image recognition training network that is configured to receive ultrasound training images and to develop ultrasound image knowledge based on the received ultrasound training images. An ultrasound imaging device acquires ultrasound images of a patient, and the device includes an ultrasound image recognition module. The ultrasound image recognition module is configured to receive the ultrasound image knowledge, receive the acquired ultrasound images from the ultrasound imaging device, and determine, based on the ultrasound image knowledge, whether the received ultrasound images represent a clinically desirable view of an organ or whether the clinically desirable views indicate normal function or a particular pathology. The received ultrasound images are transmitted to the ultrasound image recognition training network for further training and development of updated ultrasound image knowledge.

A real-time imaging method that provides ultrasonic imaging and optoacoustic imaging coregistered through application of the same hand-held probe to generate and detect ultrasonic and optoacoustic signals. These signals are digitized, processed and used to reconstruct anatomical maps superimposed with maps of two functional parameters of blood hemoglobin index and blood oxygenation index. The blood hemoglobin index represents blood hemoglobin concentration changes in the areas of diagnostic interest relative to the background blood concentration. The blood oxygenation index represents blood oxygenation changes in the areas of diagnostic interest relative to the background level of blood oxygenation. These coregistered maps can be used to noninvasively differentiate malignant tumors from benign lumps and cysts.

The present application describes a musculoskeletal diagnosis system that receives, in real-time or substantially real-time, various objects from a musculoskeletal ultrasound probe. Once the objects are received, the musculoskeletal diagnosis system analyzes the various objects to detect various pathologies and direct additional movement of the ultrasound probe as subsequent objects are taken.

An ultrasonic imaging device includes an ultrasonic generating unit and an ultrasonic imaging processing unit. The ultrasonic generating unit repeatedly turns on N of M ultrasonic array elements of the ultrasonic probe multiple times as a group of array elements for linear scanning, and each scan is to emit an ultrasonic signal by each group of array elements and receive an echo signal of the ultrasonic signal. The ultrasonic imaging processing unit extracts a central echo signal from the echo signal in each scan to form a channel signal, and according to the arrival time of the echo signals, each central echo signal in the channel signal is delayed and summed to generate a modified channel signal. The modified channel signal is subjected to image synthesis process to obtain an ultrasonic image.

The present invention relates to the technical field of image processing, in particular to a method for determining a cardiac cycle and ultrasonic equipment. The method comprises: acquiring a cardiac ultrasound video; classifying the cardiac ultrasound video by using a section type recognition model to determine a section type of the cardiac ultrasound video; and processing the cardiac ultrasound video by using a systole and diastole recognition model corresponding to the section type to obtain the cardiac cycle corresponding to the cardiac ultrasound video. The model is used to process the cardiac ultrasound video to detect the corresponding cardiac cycle. Model detection can avoid the use of an electrocardiograph and simplify the detection of the cardiac cycle. Furthermore, real-time detection of the cardiac cycle can be realized during echocardiography.

Systems, devices, and methods are provided to provide serial monitoring for a patient. An ultrasound system is provided which may include subdividing a portion of the anatomy of a patient into a number of zones. Imaging data may be received by an imaging device. This imaging data may be used to generate a severity score for each zone based on imaging parameters within the imaging data. Changes in the severity score for each zone may be displayed over time, such that a medical professional may monitor each zone in a serial manner.

An ultrasound processing system includes an ultrasound interface and processing electronics. The ultrasound interface receives imaging information. The processing electronics are coupled to the ultrasound interface and are configured to utilize the ultrasound imaging information to use time-varying frame selection to estimate strain so that the processing electronics perform the time-varying frame selection by comparing a single frame to a plurality of previous frames and selecting a single comparison set for each frame for strain estimation.

A spiral ultrasonic tomography imaging method and system are provided. The method is to use synchronous rotation of an ultrasonic probe or cyclic switching of emission array elements in the ultrasonic probe under the premise of a uniform displacement of the ultrasonic probe along the Z axis, so that the change trajectory of the positions of emission array elements over time in a three-dimensional space at each ultrasonic emission time is distributed along a spiral line or a curve. During the process of the uniform displacement of the ultrasonic probe along the Z axis, the ultrasonic probe emits ultrasonic waves and receives and collects echo data. The collected echo data is stored and post-processed to realize ultrasonic tomography imaging of an object. The spiral ultrasonic tomography three-dimensional scanning method and the corresponding system realize rapid continuous uninterrupted data acquisition to ensure that higher spatial resolution in the Z-axis direction.