Methods for treating skin and subcutaneous tissue with energy such as ultrasound energy are disclosed. In various embodiments, ultrasound energy is applied at a region of interest to affect tissue by cutting, ablating, micro-ablating, coagulating, or otherwise affecting the subcutaneous tissue to conduct numerous procedures that are traditionally done invasively in a non-invasive manner. Methods of lifting sagging tissue are described.

A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape. The regional leaflet stress distributions may be predicted in normal and diseased (regurgitant) mitral valves using the techniques of the invention.

Embodiments of the present disclosure are directed to a vessel-wall-monitoring device (100) and a method for identifying the walls of blood vessel in a body. The method includes receiving, by the vessel-wall-monitoring device (100), a plurality of ultrasound echo signals from a transducer, wherein the plurality of ultrasound echo signals are transmitted to the transducer from locations of the blood vessel, extracting at least two consecutive ultrasound frames from the plurality of ultrasound echo signals, determining a shift between the at least two consecutive ultrasound frames by comparing samples of the at least two consecutive ultrasound frames, and identifying, a proximal wall and a distal wall of the blood vessel based on the shift between the at least two consecutive ultrasound frames.

The present disclosure provides methods and apparatus for evaluating tissue structure in damaged or healing tissue. The present disclosure also provides methods of identifying a patient at the onset of risk of pressure ulcer or at risk of the onset of pressure ulcer, and treating the patient with anatomy-specific clinical intervention selected based on a number of sonographic characteristics. The present disclosure also provides methods of stratifying groups of patients based on risk of wound development and methods of reducing incidence of tissue damage in a care facility. The present disclosure also provides methods to analyze trends of sonographic characteristics to detect tissue damage before it is visible, and methods to compare bisymmetric sonographic characteristics to identify damaged tissue.

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.

Methods and systems are provided for evaluating a subject for a liver disease using ultrasound images. In one example, a method includes, in response to a request to evaluate the liver disease, determining, with a measurement model, that a selected medical image frame of the subject includes a target anatomical view and has an image quality above a threshold image quality, and in response, measuring, with the measurement model, a marker for the liver disease in the selected medical image, and outputting, for display on a display device, the measurement of the marker.

For tissue property estimation with ultrasound, multiple different types of measurements are performed by an ultrasound system, including scatter measurements and shear wave propagation measurements. The tissue property, such as liver fat fraction, is estimated using a combination of these different types of measurements.

An example monitoring device for detecting and measuring a vital sign of a subject includes: a base; a battery mounted to the base; first and second transceivers attached to the base at opposing angles, and powered by the battery to transmit pulses and receive reflected pulses; an antenna powered by the battery, and configured to wirelessly transmit data acquired from the first and second transceivers; and a computing device powered by the battery, and operatively coupled to the first and second transceivers and the antenna, the computing device having a processing device and a memory storing instructions that, when executed by the processing device, cause the monitoring device to determine a respiration rate by detecting a cyclical change in distance based on the reflected pulses.

The medical imaging apparatus of the present invention includes a bath tank for accommodating a test subject, the test subject being at least a portion of a body of a human subject; a measurement device movable in a predetermined direction, the measurement device including ab group of elements to emit a radiation wave into the bath tank and receive a scattered radiation wave; and a control unit for measuring by the measurement device when at least one of a location of the test subject within a plane orthogonal to the predetermined direction, a location of the test subject in the predetermined direction, and continuity of data measured by the measurement device satisfies a predetermined condition. Because of this configuration, the medical imaging apparatus is able to acquire data covering the entire measurement target site.

A system for patient cardiac imaging and tissue modeling. The system includes a patient imaging device that can acquire patient cardiac imaging data. A processor is configured to receive the cardiac imaging data. A user interface and display allow a user to interact with the cardiac imaging data. The processor includes fat identification software conducting operations to interact with a trained learning network to identify fat tissue in the cardiac imaging data and to map fat tissue onto a three-dimensional model of the heart. A preferred system uses an ultrasound imaging device as the patient imaging device. Another preferred system uses an MRI or CT image device as the patient imaging device.