According to one embodiment, an analysis apparatus includes processing circuitry. The processing circuitry configured to generate a harmonic signal and a fundamental wave signal based on a reception signal that is collected by an ultrasound probe, the harmonic signal corresponding to a harmonic component of a reflected wave of a ultrasound generated in the subject, the fundamental wave signal corresponding to a fundamental wave component of the reflected wave, calculate a first index value indicating tissue properties of the subject based on the harmonic signal, and calculate a second index value indicating the tissue properties based on the fundamental wave signal, and display an analysis result based on the first index value and the second index value.

The disclosed image acquisition medical device and medical system make it possible to easily grasp an orientation of a distal end portion of the medical device based on an angiographic image and a tomographic image. The image acquisition medical device includes a flexible body portion that extends in an axial direction; an image sensor that is disposed in the body portion and that is configured to acquire an image of a hollow organ; and a contrast unit that protrudes toward a distal end side of the body portion and that makes an orientation of a distal end portion of the body portion visually recognizable in an angiographic image. Relative positions of the image sensor and the contrast unit in an axial rotation direction are fixed.

A method and system acquiring, processing and displaying breast ultrasound images in a way that makes breast ultrasound screening more practical and thus more widely used, and reduces the occurrence of missing cancers in screening and diagnosis, using automated scanning of chestwardly compressed breasts with ultrasound. Enhanced, whole-breast navigator overview images are produced from scanning breasts with ultrasound that emphasize abnormalities in the breast while excluding obscuring influences of non-breast structures, particularly those external to the breast such as ribs and chest wall, and differentiating between likely malignant and likely benign abnormalities and otherwise enhancing the navigator overview image and other images, thereby reducing the time to read, screen, and/or diagnose to practical time limits and also reduce screening or diagnostic errors.

An intraluminal sensing system is provided that includes an intraluminal device. The intraluminal device has a flexible elongate member configured to be positioned within a body lumen of a patient, and an ultrasound sensor at a distal portion of the flexible elongate member. The ultrasound sensor is configured to emit an ultrasound pulse in a longitudinal within the body lumen, and to receive Doppler-shifted echoes from the ultrasound pulse. A processor circuit in communication with the ultrasound sensor is configured to: compute a velocity spectrum of particles moving within the body lumen based on the Doppler-shifted echoes; identify features in the velocity spectrum indicative of a lateral position or angular alignment of the ultrasound sensor within the body lumen; and output, to a display in communication with the processor circuit, positioning guidance for the intraluminal device based on the identified features in the velocity spectrum.

Information relevant to a state of a tissue in a subject (state information) is provided with technology reducing the amount of memory and computation necessary at the time of extracting the information. An ultrasonic wave is transmitted towards a subject, a transmission wave transmitted through the subject or a reflection wave reflected on the subject is received. A reception signal is generated on the basis of the transmission wave or the reflection wave. A tissue region candidate, of a region indicating a tissue of the subject, is set on the basis of the reception signal. State information, which is information relevant to a state of the tissue in the tissue region candidate, is calculated on the basis of the reception signal and the tissue region candidate. An ultrasonic image reflecting the state information is generated on the basis of the state information and displayed.

A system for delivering drugs or other molecules to the brain comprises an ultrasound imaging transducer configured to image structures such as the circle of Willis within a patient's head by way of a low attenuation acoustic window. The system includes a processor configured to register the ultrasound images to previously obtained images which also include the structures. The system includes ultrasound transducer elements operable to deliver ultrasound energy to a target region to cause the blood brain barrier to open. The system may include a drug delivery system that may be operated to deliver a drug to the patient in coordination with opening the blood brain barrier. Coordinates of the target region relative to the ultrasound imaging transducer are determined using registration information.

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.

Aspects of the technology described herein related to monitoring fetal heartbeat and uterine contraction signals. An ultrasound system may be configured to sweep a volume to collect ultrasound data, detect a fetal heartbeat and/or uterine contraction signal in the ultrasound data, and automatically steer an ultrasound beam to monitor the fetal heartbeat and/or uterine contraction signal. The ultrasound system may be further configured to determine a location where the fetal heartbeat and/or uterine contraction signal is detectable or detectable at a highest quality. The ultrasound system may include a wearable ultrasound device, such as an ultrasound patch coupled to a subject. The wearable ultrasound device may have a two-dimensional array of ultrasonic transducers capable of steering ultrasound beams in three dimensions.

Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit in communication with an ultrasound probe comprising a transducer array, wherein the processor circuit is configured to receive, from the ultrasound probe, a first image of a patients anatomy; detect, from the first image, a first anatomical landmark at a first location along a scanning trajectory of the patients anatomy; determine, based on the first anatomical landmark, a steering configuration for steering the ultrasound probe towards a second anatomical landmark at a second location along the scanning trajectory; and output, to a display in communication with the processor circuit, an instruction based on the steering configuration to steer the ultrasound probe towards the second anatomical landmark at the second location.

A method color Doppler imaging in accordance with some examples of the present disclosure includes transmitting with a probe of an ultrasound imaging system, ultrasound pulses towards a region of interest in a subject, receiving with the probe echoes responsive to the pulses, generating B-mode image data and Doppler signals based on the ultrasound echoes, filtering the Doppler signals, wherein the filtering includes rejecting lower intensity signals which have amplitudes below a threshold amplitude and passing higher intensity signals which have amplitudes above the threshold amplitude, generating color data based on the higher intensity signals, overlaying the color data with the B-mode image data to produce a color Doppler image, and displaying the color Doppler image in a kidney stone detection interface.