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.

A system for monitoring fetal health data and mother health data comprises a belly-covering garment that is configured to at least partially cover a belly and to hold one or more sensor modules directly adjacent to the belly. One or more sensor modules disposed within the belly-covering garment. The one or more sensor modules comprise a pulse-oximeter sensor that gathers pulse oximetry data from the mother through contact with the belly. The one or more sensor modules also comprise an accelerometer sensor that gathers movement data from the mother. Additionally, the one or more sensor modules comprise a fetal sensor that gathers health data from a fetus within the belly.

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.

The present embodiments relate generally to systems and methods for ultrasound imaging. The methods may involve: establishing a wireless network between an ultrasound imaging device and a display device; acquiring ultrasound image data using ultrasound acquisition parameters; transmitting the ultrasound image data from the ultrasound imaging device to the display device over the wireless network; receiving the ultrasound image data; measuring a quality of service parameter of the received ultrasound image data; determining whether the measured quality of service parameter is less than an expected quality of service parameter, the expected quality of service parameter being determined based on the ultrasound acquisition parameters used to acquire the ultrasound image data; and in response to determining that the measured quality of service parameter is less than the expected quality of service parameter, adjusting a network parameter of the wireless network to reduce network traffic on the wireless network.

Provided is an ultrasound imaging apparatus for predicting fetal growth rate, including: an ultrasound probe configured to transmit ultrasound signals to a fetus and receive ultrasound echo signals reflected from the fetus; a user inputter configured to receive pregnancy information regarding a patient from a user; a communicator configured to receive, from a cloud server, fetal biometric data related to the pregnancy information regarding the patient from among fetal biometric data prestored and accumulated in the cloud server; and a controller configured to generate an ultrasound image of the fetus by using the ultrasound echo signals, measure a size of a body part of the fetus on the ultrasound image, and predict the fetal growth rate based on the measured size of the body part of the fetus and the fetal biometric data received from the cloud server.

Implementations described and claimed herein provide systems and methods for managing one or more patients. In one implementation, an imaging window is determined based on a location of a probe. A primary image cross-section for the imaging window is identified for the imaging window. At least one image is generated along the primary image cross-section using patient data captured using the probe. The at least one image is compared to an expected image contour scaffold of the primary image cross-section. The probe is commanded to fine-tune an imaging plane based on the comparison until the at least one image matches the expected image contour scaffold of the primary image cross-section.

The purpose is to provide an ultrasound imaging device capable of automatically detecting a boundary of a biological tissue in an ultrasound image. An ultrasound imaging device includes an image generation module which receives ultrasound waves transmitted from a surface of an analyte toward an inside of the analyte and reflected therein to generate an ultrasound image inside the analyte, a reference point setting module which sets a reference point of a tissue of interest of the ultrasound image, a first seed point imparting module which imparts one or more seed points to the ultrasound image with reference point, and a region demarcating module which demarcates a region to which the seed point belongs and divides an image region of the analyte included in the ultrasound image into a plurality of regions according to a type of tissue.

A wearable ultrasonic therapeutic device controlled by a mobile electronic device is provided, which includes a mobile device, at least one ultrasonic probe module and a strap. The mobile device has a mobile device control interface for setting ultrasonic parameters and displaying an echo wave through a specific software interface of the mobile device. The ultrasonic probe module includes at least one ultrasonic transducer and a control circuit corresponding thereto. The ultrasonic transducer generates and receives an ultrasonic wave. The control circuit has the functions of generating/receiving signals, phase regulation, power amplification and matching. One end of the ultrasonic probe module is electrically connected to the mobile device and the other end of the ultrasonic probe module is connected to the strap.

In a dematerialized ultrasound system, i.e. comprising a probe for transmitting and receiving ultrasound signals and a generic processing hardware made of one or more distributed processing units, the functions relating to the processing steps for the generation and processing of the images are in the form of software programs that encode instructions for the aforementioned generic hardware which make it capable of executing said processing steps. In order to make the computational and data interchange burden less heavy between the units of the distributed architecture of the system and to make the distribution of processing steps more flexible between one or more of the components of the distributed system, the programs are created under form of applications included in containers managed by a container management engine.

A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving ultrasound images that include a blood vessel, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the blood vessel in the ultrasound images. The diameters include a respective diameter of the blood vessel for each ultrasound image of the ultrasound images. The method includes determining a blood vessel diameter based on the diameters of the blood vessel, selecting a color based on the blood vessel diameter, and indicating, in one of the ultrasound images, the blood vessel with an indicator having the color.