The three-dimensional ultrasound imaging method comprise emitting an ultrasonic wave to a fetal head; receiving an ultrasonic echo to acquire an ultrasonic echo signal; acquiring three-dimensional volume data of the fetal head according to the ultrasonic echo signal; detecting a median sagittal section from the three-dimensional volume data according to features of the median sagittal section of the fetal head; determining a facing orientation of the fetal head in the median sagittal section; displaying the median sagittal section as an image suitable for observation according to the facing orientation of the fetal head.

An ultrasonic diagnostic device includes a probe configured to transmit an ultrasonic wave to a subject and to receive the ultrasonic wave reflected by the subject; an image processor configured to convert ultrasonic image data based on the ultrasonic wave received by the probe, into digital data; a main body configured to output the digital data output from the image processor; and a connector configured to electrically connect and disconnect the image processor with respect to the main body.

The present disclosure provides an ultrasonic probe assembly and a method using the same. The ultrasonic probe assembly includes: a handle and a probe body separable from the handle; wherein the handle is configured to control movement of the probe body in a body of an examinee; the probe body includes an ultrasonic component for emitting ultrasonic waves to the body of the examinee and receiving reflected ultrasonic waves to generate examination information, and a driving component for driving the ultrasonic component to move to change a direction of the ultrasonic waves emitted by the ultrasonic component.

An embodiment of wearable imaging system implements a set of sensors distributed around the joint of a user with advanced software machine learning techniques to deliver accurate measurements of bone-to-bone displacement and angle. A first subset of the distributed sensors emit ultrasound signals towards the joint of the user and a second subset detects ultrasound signals traveling through and reflected off structures of the joint. A controller of the wearable imaging system extracts physiological properties of the joint from the detected ultrasound signals. The controller inputs the physiological properties of the joint and properties of the detected ultrasound signals to a machine-learned displacement model to generate a bone displacement measurement at the joint.

Aspects of the present application provide methods and apparatus for directing operation of an ultrasound device. Some aspects provide various instructions to a user of the ultrasound device, automatically detect when the user has completed a step based on ultrasound images collected by the ultrasound device, and automatically transitioning to providing an instruction for a following step. The instructions may relate to positioning of the ultrasound device and application of an ultrasound coupling medium, in some embodiments.

A method of training includes providing a medical device having a tangible proximal portion including a magnetic element, and using a virtual tracking system to simulate a distal portion of the medical device. The virtual tracking system can include a tracking component and a display. The tracking component can be configured to detect a magnetic field of the magnetic element and to generate magnetic field strength data. The tracking component can include a processor that iteratively computes position data of the distal portion of the medical device according to the magnetic field strength data to simulate insertion of the distal portion of the medical device into a body of a patient. The display can be configured to depict an image of the position data of the distal portion of the medical device.

An ultrasound diagnostic apparatus includes a hardware processor that generates a first B mode image and a second B mode image on the basis of a first reception signal and a second reception signal whose beam width in the slice direction is narrower than the first reception signal, displays a display image on a display section, determines whether the end of the puncture needle in the display image is the actual needle point, and presents the determination result. The hardware processor presents the determination result on the basis of the first puncture needle image included in the first B mode image and the second puncture needle image included in the second B mode image.

A handheld ultrasound device may comprise components configured to provide decreased size, weight, complexity, and power consumption. The handheld ultrasound device may comprise a beamformer configured to implement and compress a flag table in place of a delay table. These improvements can decrease the amount of memory used to generate ultrasound images, which can decrease the size, weight, and power consumption of the handheld ultrasound device. Ultrasound image data on a handheld imaging probe can be compressed on the handheld imaging probe prior to transmission from the probe in order to decrease the amount of data transmitted from the probe. The compressed data may comprise compressed pixels to maintain spatial image resolution. The compression circuitry may comprise an amount of memory related to a dynamic range of the compressed data that is independent of the dynamic range of the input data, which can decrease memory, power consumption, and latencies.

An ultrasound fetal imaging system uses an acceleration sensor (16) for generating an acceleration signal relating to movement of the ultrasound transducer (10). A user is guided in how or where to move the ultrasound transducer based on the results of image processing of the ultrasound images. The user can thus be guided to move the transducer in a certain direction so as to achieve a complete scan of a fetus in a shortest possible time. This limits exposure of the expectant mother to the ultrasound energy. The fetal image obtained may be used to determine a fetal weight, for example using regression analysis based on some of the parameters derived from the obtained image.

An example monitoring device for detecting and measuring a vital sign of a subject includes: a base; a battery mounted to the base; first and second transceivers attached to the base at opposing angles, and powered by the battery to transmit pulses and receive reflected pulses; an antenna powered by the battery, and configured to wirelessly transmit data acquired from the first and second transceivers; and a computing device powered by the battery, and operatively coupled to the first and second transceivers and the antenna, the computing device having a processing device and a memory storing instructions that, when executed by the processing device, cause the monitoring device to determine a respiration rate by detecting a cyclical change in distance based on the reflected pulses.