Provided is a non-invasive system and method of determining muscle tissue quality based on image processing. The non-invasive system and method includes determining muscle intramuscular fat content. The methods includes receiving at least one ultrasound scan image of at least a portion of a skin layer as disposed above one or more additional tissue layers, the skin layer defining a horizontal axis and the image provided by a plurality of pixels. The method continues by blurring the pixels of the image and thresholding the pixels of the image to provide an image having a plurality of structural elements of different sizes and gray scale. The method continues with morphing the structural elements of the image to remove small structural elements and connect large structural elements. With this resulting image, the method distinguishes muscle tissue from remaining elements. A ratio of black to white elements is evaluated to determine the muscle tissue quality or intramuscular fat content. Associated apparatuses and computer program products are also disclosed.

The present disclosure describes imaging systems configured to identify features within image frames and improve the frames by implementing image quality adjustments. An ultrasound imaging system can include a transducer configured to acquire echo signals responsive to ultrasound pulses transmitted toward a target. The system can also include a user interface configured to display an image and one or more processors configured to identify one or more features within the image. The processors can cause the interface to display elements associated with at least two image quality operations specific to the identified feature. A first image quality operation can include a manual adjustment of a transducer setting, and a second image quality operation can include an automatic adjustment of the identified feature derived from reference frames including the identified feature. The processors can receive a user selection of one or more elements and apply the operations to modify the image.

A low-power (e.g., battery-operated, etc.) wearable ultrasound system may be used to monitor the musculoskeletal function of a subject and provide information that may be used for electrical stimulation.

Pressure and pressure or displacement variations are measured in a media, such as a fluid (e.g., air, other gases, or other liquid fluids), using ultrasound. The pressure may be sound pressure (e.g., acoustic pressure), pseudo-sound pressure (e.g., hydrodynamic pressure), displacement, and so on. By measuring pressure or displacement, the flow in the fluid can be measured, estimated, parameterized, or otherwise quantified. In this way, measurements of pressure (e.g., acoustic pressure, hydrodynamic pressure) or displacement can be correlated or otherwise converted into a measurement of flow. The pressure measurements can also be converted into audio signals that can be played back to a user.

An apparatus for patient-specific adjusting of ultrasound output pressure includes a controller (118) configured for adjusting, based on an estimate of thickness of a temporal bone (140) in a head of a medical treatment recipient, a pressure setting. It may also be based on treatment depth (134). Ultrasound at the adjusted pressure setting is applied. A user interface may be provided for user entry of the estimate, the user interface being further configured for user indication of the treatment depth. Both the entered estimate and the indicated treatment depth may be used in calculating ultrasound attenuation (148). The user indication can be interactive by virtue of designating, on a display, a location of a treatment target. The calculated attenuation may be a value, in decibels, that is in a range from 0.9×(2.70×0.1+16.60×T+0.87×(D−T−0.1)+3.02) to 1.1×(2.70×0.1+16.60×T+0.87×(D−T−0.1)+3.02), where T is the estimate in centimeters and D is the treatment depth in centimeters.

Embodiments provide an ultrasound treatment system and method. In some embodiments, the system includes a removable transducer module having an ultrasound transducer. In some embodiments, the system can include a hand wand with at least one finger activated controller and a control module that is coupled to the hand wand and has a graphical user interface for controlling the removable transducer module, and an interface coupling the hand wand to the control module. The interface may provide power to the hand wand or may transfer a signal from the hand wand to the control module. In some embodiments, the treatment system may be used in cosmetic procedures on at least a portion of a face, head, neck, and/or other part of a patient.

System and method for non-invasive monitoring of physiological measurements of a subject, including at least one monitoring device, to detect changes in measured physiological signals, the monitoring device including at least one measuring unit, wherein each measuring unit includes: at least two light emitting sources, and at least one sensor, to detect light beams emitted from the at least two light emitting source, and a computerized device, in communication with the at least one monitoring device, the computerized device to receive data from monitoring device, wherein the monitoring device is configured to be removably attachable to the subject's body.

Systems, devices, and methods for automated, fast lung pulse detection are provided. In an embodiment, a system for detecting pneumothorax (PTX) includes an ultrasound probe in communication with a processor. The processor is configured to generate, using the ultrasound imaging data received from the ultrasound probe, an M-mode image including a pleural line of the lung. Using the M-mode image, the processor generates a difference image comprising a plurality of difference lines generated by subtracting adjacent samples of the M-mode image. The processor analyzes the difference image to determine whether the difference image includes a periodic signal corresponding to the heartbeat of the patient and outputs a graphical representation of detecting the lung pulse based on determining that the difference image includes the periodic signal corresponding to the heartbeat.

The present disclosure describes systems and methods configured to determine shear wave velocity and tissue stiffness levels of thin tissue of finite size, also referred to as bounded tissue, via shear wave elastography. Systems can include an ultrasound transducer configured to acquire echoes responsive to pulses transmitted toward a tissue. Systems can also transmit a push pulse into the tissue for generating shear waves, and tracking pulses intersecting the shear waves. The system can also apply a directional filter to received echo data and generate directionally filtered shear wave data based on a dimension and angular orientation of the bounded target relative to the ultrasound transducer. The system can estimate velocities of the shear waves at different shear wave frequencies based on the filtered shear wave data and angular orientation relative to the transducer, and determine a tissue stiffness value independent of the shape or form of the tissue.

A method and system for noninvasive face lifts and deep tissue tightening are disclosed. An exemplary method and treatment system are configured for the imaging, monitoring, and thermal injury to treat the SMAS region. In accordance with an exemplary embodiment, the exemplary method and system are configured for treating the SMAS region by first, imaging of the region of interest for localization of the treatment area and surrounding structures, second, delivery of ultrasound energy at a depth, distribution, timing, and energy level to achieve the desired therapeutic effect, and third to monitor the treatment area before, during, and after therapy to plan and assess the results and/or provide feedback.