An ultrasonic diagnostic device includes: a transmission and reception circuit that processes reception signals output from an ultrasonic probe to generate reception data; a memory that stores the reception data; an image data generation portion that generates B-mode image data and M-mode image data based on the reception data; a detection portion that detects hand movement or body movement in the reception data; a determination portion that detects an amount of change of a relative position between the ultrasonic probe and a body under test in the reception data in which the hand movement or the body movement is detected, and determine an accuracy of the reception data; and an elastic characteristic calculation portion that measures a displacement magnitude of a living body tissue in the reception data determined by the determination portion to be highly accurate, and calculates elastic characteristic by using the displacement magnitude.

The present invention relates to an apparatus (1) comprising a signal processor (2) for processing measurement signals (3) from a motion-mode ultrasound measurement and a rendering device (4) coupled to a processor (2) for rendering a one-dimensional representation (40) along a temporal axis (41) indicative of a property within a tissue. The values (42) in the one-dimensional representation (40) are derived on the basis of measured values in an observation window (12, 22, 32) defined on an M-mode ultrasound image (10), a tissue velocity image (20) or a strain rate image (30).

Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position at a body of the subject adjacent the section of the vasculature; transmitting, by the probe, a first ultrasound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultrasound data including at least one imaging parameter of the first portion based on the first ultrasound beam; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter of the second portion based on the second ultrasound beam; and constructing a map of the section of the vasculature based on the first ultrasound data and the second ultrasound data.

The present invention relates to a visualization apparatus (1) comprising a signal processor (2) for processing measurement signals from an ultrasound measurement (3) and a rendering device (4) coupled to a processor for rendering a representation for discerning a region of tissue with changed property (42) upon energy application to the tissue from a region with unchanged property (41) within two extremities (44,47) of the representation indicative of two boundaries defining the tissue thickness. The rendering of the tissue with changed property (42) and the tissue with unchanged property (41) with different visual aspects is readily absorbable by a person who applies energy to the tissue.

An ultrasound diagnostic apparatus includes an ultrasound image acquirer, an evaluation target determiner, a disease progression score calculator, a selector, and a display controller. The ultrasound image acquirer acquires ultrasound image signals of a plurality of frames. The evaluation target determiner analyzes the ultrasound image signal of each frame and determines the frame to be an evaluation target frame when the ultrasound image signal includes a target image section depicting a joint. The disease progression score calculator calculates, for each evaluation target frame, a disease progression score quantifying disease activity using an ultrasound image signal of the target image section included in the ultrasound image signal of the evaluation target frame. The selector selects at least one disease progression score in accordance with a predetermined numerical process. The display controller controls the display to display the selected disease progression score and an ultrasound image of a corresponding frame.

The present disclosure provides using ultrasound technology and artificial intelligence to enhance MSR assessment by making the assessment more objective, reproducible, and recordable to allow a more precise and/or personalized approach to the medical practice of individual patients via using multiple ultrasound functions and artificial intelligence to improve the accuracy and consistency of assessing reflexes and allowing MSR data to be combined with other patient medical information for improved diagnosis and management of a patient's condition.

Lingual repositioning devices have a mandibular piece having a teeth covering and a first housing proximate either a left molar portion or a right molar portion of the teeth covering. The first housing includes a stimulator protrusion extending therefrom at a position to extend toward a tongue of a user and to contact a lingual muscle of the tongue or includes a sensor portion extending therefrom at a position to extend toward a tongue of a user and to be positioned under the tongue. The stimulator protrusion encloses a stimulator and the first housing encloses a power source electrically connected to a circuit board and electrically connected to an electrode of a stimulator. A second housing at the other of the left or right molar portions has a stimulator protrusion or a sensor portion. The first and second housings may be removably attachable to the teeth covering.

Maxillary devices and Mandibular devices each have a first housing connectable to a tooth of a user or connectable or integral with a teeth covering, wherein the housing encloses an on-board circuit board and a power source. The first housing of the maxillary devices has a tooth connecting portion, a palate housing portion and/or a buccal housing portion. The first housing of the mandibular devices has a tooth connecting portion and a sublingual portion. Each of the palate housing portion and the buccal housing portion enclose a stimulator having an electrode electrically connected to the on-board circuit board and the power source, and can enclose a sensor and/or a medicament dispenser. The sublingual portion encloses a sensor and a medicament dispenser each of which are in electrical communication with the microprocessor of the on-board circuit board.

Ultrasound-based acoustic streaming for deciding whether material is fluid is dependent upon any one or more of a variety of criteria. Examples are displacement, speed (230), temporal or spatial flow variance, progressive decorrelation, slope or straightness of accumulated signal to background comparisons over time, and relative displacement to adjacent soft tissue. Echogenicity-based area identification is combinable with the above movement characteristic detection in the deciding. Fluid pool identification is performable from the area-limited acoustic streaming testing and ultrasound attenuation readings. Candidates from among the areas (210) are screenable based on specific shapes or bodily organs detected. Natural flow can be excluded from streaming detection by identification of blood vessels (206). Processing for each FAST ultrasound view (202), or for the entire procedure, is performable automatically, without need for user intervention or with user intervention to identify suspected areas.

An extraction period specification unit specifies an extraction period (extraction section) for an M-mode image. A model expansion/contraction unit establishes a contour model (initial configuration) in relation to the specified extraction period while expanding/contracting the contour model in the direction of the time axis so as to conform with the extraction period. A node position change unit performs, for each node forming a plurality of node strings included in the established contour model, an edge (contour) search while successively changing the positions of the nodes, resulting in the formation of a revised contour model comprising a plurality of nodes at an edge detection position. A trace unit carries out interpolation on a plurality of node strings included in the revised contour model, thereby generating a plurality of trace lines simulating a plurality of contour lines.