Retinal diseases, such as age-related macular degeneration (AMD), are the leading cause of blindness in the elderly population. Since no known cures are currently present, it is crucial to diagnose the condition in its early stages so that disease progression is monitored. Systems and methods for detecting and mapping the mechanical elasticity of retinal layers in the posterior eye are disclosed herein. A system including confocal shear wave acoustic radiation force optical coherence elastography (SW-ARF-OCE) is provided, wherein an ultrasound transducer and an optical scan head are co-aligned to facilitate in-vivo study of the retina. In addition, an automatic segmentation algorithm is used to isolate tissue layers and analyze the shear wave propagation within the retinal tissue to estimate mechanical stress on the retina and detect early stages of retinal diseases based on the estimated mechanical stress.

An ultrasonic diagnostic apparatus includes: a hardware processor that determines a focal position of a push wave, and positions of observation points in a region of interest indicating an analysis target range within the subject, causes the ultrasonic probe to perform transmission of a push wave focusing on the focal position, and subsequent to the transmission, causes the ultrasonic probe to transmit a detection wave passing through the region of interest within the subject, and calculates amounts of displacement of tissue of the subject at the observation points on the basis of a reflected wave obtained by the ultrasonic probe in response to the transmission of the detection wave, calculates propagation speeds of the shear wave in the tissue of the subject with respect to the observation points on the basis of the amounts of displacement, and evaluates values of the propagation speeds calculated to create an evaluation result.

An ultrasound device (10) includes a probe (12) including a tube (14) sized for insertion into a patient and an ultrasound transducer (18) disposed at a distal end (16) of the tube. A camera (20) is mounted at the distal end of the tube in a fixed spatial relationship to the ultrasound transducer. At least one electronic processor (28) is programmed to: control the ultrasound transducer and the camera to acquire ultrasound images (19) and camera images (21) respectively while the ultrasound transducer is disposed in vivo inside the patient; and construct a keyframe (36) representative of an in vivo position of the ultrasound transducer including at least ultrasound image features (38) extracted from at least one of the ultrasound images acquired at the in vivo position of the ultrasound transducer and camera image features (40) extracted from one of the camera images acquired at the in vivo position of the ultrasound transducer.

A medical system includes an ultrasound probe configured for insertion into an organ of a body, and a processor. The probe includes a two-dimensional (2D) ultrasound transducer array, and a sensor configured to output signals indicative of a position, direction and orientation of the 2D ultrasound transducer array inside the organ. The processor is configured to (a) using the signals output by the sensor, register multiple ultrasound images of a tissue region, acquired over a given time duration by the 2D ultrasound transducer array, with one another, (b) estimate, based on the ultrasound images acquired over the given time duration, three-dimensional displacements as a function of time for one or more locations in the tissue region, (c) estimate respective mechanical strains of the one or more locations in the tissue region, based on the three-dimensional displacements, and (d) present a time-dependent rendering of the mechanical strains to a user.

A medical system includes an ultrasound probe for insertion into an organ of a body and a processor. The ultrasound probe includes (i) a two-dimensional (2D) ultrasound transducer array, and (ii) a sensor configured to output signals indicative of a position, direction and orientation of the 2D ultrasound transducer array inside the organ. The processor is configured to (a) using the signals output by the sensor, register multiple ultrasound images of a tissue region, acquired over a given time duration by the 2D ultrasound transducer array, with one another, and (b) generate a map of the tissue region indicative of respective amounts of motion of tissue locations in the tissue region.

An ultrasonic diagnosis apparatus according to an embodiment includes a transmission unit, a reception unit, a generator, and a display controller. The transmission unit causes an ultrasonic probe to transmit a displacement-producing ultrasonic wave and causes the probe to transmit a displacement-observing ultrasonic wave. The reception unit generates reflected-wave data based on a reflected wave received by the probe. The generator calculates displacement at each of a plurality of positions in the scan area over a plurality of time phases, based on the reflected-wave data, determines a time phase when the calculated displacement is substantially maximum, for each of the positions, and generates image data representing positions where the determined time phases are substantially the same as each other, among the positions. The display controller superimposes an image based on the image data on a medical image corresponding to an area including the scan area.

Systems and methods for calculating hepato-renal index (HRI) values from radiofrequency (RF) data are disclosed herein. The RF data may include fundamental frequency components, harmonic frequency components, or a combination thereof. Signal intensities within regions of interest may be calculated from the RF data. The signal intensities may be averaged to arrive at an average signal intensity value for each region of interest. In some examples, some of the highest and/or lowest signal intensity values may be removed prior to averaging. The ratio of the average signal intensities from the different regions of interest may be then be taken to arrive at the HRI values.

The present subject matter relates to techniques for harmonic motion elastography. The disclosed system can include a focused ultrasound (FUS) transducer for applying a push to a target tissue; an imaging transducer for obtaining radio frequency (RF) signals from the target tissue, and a processor configured to estimate the mechanical properties of the target tissue by extracting a shear wave from the RF signals and estimating a shear wave speed.

A method includes generating a real-time ultrasound image of anatomy of interest. At least a sub-portion of the anatomy of interest is deformed from an initial location to a different location by pressure applied by an external force. The method further includes obtaining a 2-D slice, which corresponds to a same plane as the real-time ultrasound image, from 3-D reference image data, wherein a corresponding sub-portion is at the initial location. The method further includes determining displacement fields for the sub-portion from the sub-portion, the corresponding sub-portion and other anatomy not-deformed in the real-time ultrasound image and the 3-D reference image data. The method further includes deforming the 3-D reference image data using the displacement fields, which creates deformed 3-D reference image data based on the different location.

A method of evaluating tissue stiffness of a target area includes positioning an ultrasound elasticity imaging apparatus adjacent a surface of an area of tissue where the target area is located and applying a dynamic range of force to the tissue. A plurality of ultrasound beams can be directed at the tissue and a plurality of ultrasound echoes can be acquired from the strained tissue in the target area to calculate an amount of developed strain within the target area.