For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. The machine-learnt multi-task generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. The machine-learnt multi-task generator is trained to output both the 3D segmentation and a complete volume. The 3D segmentation may be used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.

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 ultrasonic diagnosis system includes a reaction force detection sensor that detects a reaction force acting on an ultrasonic probe when the ultrasonic probe is pressed against a body surface of a subject. Then, the ultrasonic diagnosis system estimates the push-in amount of the ultrasonic probe with respect to the subject by using the reaction force detection sensor during the ultrasonic diagnosis to output a display or a warning of the estimated push-in amount of the ultrasonic probe to the output device.

An ultrasound diagnostic apparatus (1) includes a frame thinning-out unit (8), a urinary bladder extraction unit (9), a feature quantity calculation unit (10), a candidate frame extraction unit (11), and a urine volume measurement unit (13). The frame thinning-out unit thins out ultrasound images of some frames from ultrasound images of a first frame group to form a second frame group of ultrasound images, the second frame group being constituted by a smaller number of frames than the first frame group of ultrasound images. The urinary bladder extraction unit extracts a urinary bladder region from each ultrasound image. The feature quantity calculation unit calculates a feature quantity of the urinary bladder region. The candidate frame extraction unit extracts, based on the feature quantity, an ultrasound image of at least one candidate frame from the ultrasound images of the second frame group. The urine volume measurement unit analyzes an ultrasound image of a measurement frame selected from the ultrasound image of the at least one candidate frame to measure a urine volume.

The present invention relates to a system SY for determining a position of an RF transponder circuit RTC respective an ultrasound emitter unit UEU. The RF transponder circuit RTC emits RF signals that are modulated based on received ultrasound signals that are emitted or reflected by the ultrasound emitter unit UEU. The position of the RF transponder circuit RTC respective the ultrasound emitter unit UEU is determined based on a time difference ΔT1 between the emission of an ultrasound signal by the ultrasound emitter unit UEU and the detection by the RF detector unit RFD of a corresponding modulation in the RF signal emitted or reflected by the RF transponder circuit (RTC).

A control device of a mammography apparatus includes an acquisition unit that acquires a radiographic image as radiography information in a case in which the radiographic image of the breast is captured and a generation condition setting unit that sets generation conditions in a case in which an ultrasound image of the breast is generated, on the basis of the radiographic image acquired by the acquisition unit. The generation condition setting unit analyzes the radiographic image to detect the amount of mammary glands in the breast and sets, as the generation conditions, an amplification factor of an ultrasound image signal and a dynamic range which is a width of a grayscale value of the ultrasound image assigned to a value of the ultrasound image signal, according to the detected amount of mammary glands.

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 apparatus for correcting a posture of an ultrasound scanner for artificial intelligence-type ultrasound self-diagnosis, includes an ultrasound scanner including an ultrasound probe configured to acquire and transmit an ultrasound image of a patient; a mapper configured to acquire a body map of the patient in which a plurality of virtual interested organs is arranged on a body image; a scanner navigator configured to calculate current position coordinates of the ultrasound scanner on the body map and the ultrasound image; augmented reality glasses configured to display the ultrasound image and a virtual object image; and a processor configured to determine whether the patient has a disease and a risk degree of the disease based on an artificial neural network result of an implemented deep learning neural network trained on ultrasound training images provided with the ultrasound image.

An imaging system aka 3d camera operative in conjunction with a tube having two open ends, the system comprising active portions small enough to fit into the tube and an electronic subsystem including a hardware processor operative to receive image/s from the active portions and to generate therefrom at least one 3D image of a scene visible via one of the tube's open ends. The system may comprise a tracker configured to be secured to the tube, and a method for monitoring location, e.g. absolute location, of the tube, accordingly.

An ultrasound system is disclosed that includes an ultrasound imaging device including a display screen, a processor and memory having stored thereon logic, and an ultrasound probe. The logic of the ultrasound imaging device, upon execution by the processor, can causes an alteration of content displayed on the display screen in accordance of with ultrasound probe movement-related data. The ultrasound imaging device can include a light source configured to provide incident light to the optical fiber cable, the optical fiber cable including a plurality of reflective gratings disposed along a length thereof. Each of the plurality of reflective gratings can be configured to reflect light with different specific spectral widths to provide distributed measurements in accordance with strain applied to the optical fiber cable. The ultrasound imaging device can obtain the ultrasound probe movement-related data through an optical fiber.