Provided is a non-invasive system and method for determining a fuel value for a target muscle and potentially at least one indicator muscle. The method includes receiving an ultrasound scan of a target muscle; evaluating at least a portion of the ultrasound scan to determine fuel value within the target muscle; recording the determined fuel value for the muscle as an element of a data set for the muscle; evaluating the fuel data set to determine a value range; and in response to the range being at least above a pre-determined threshold, establishing a target score for the muscle as based on an upper portion of the value range. The method may be repeated to identify ranges for a plurality of muscles, the muscle with the greatest range being identified as an indicator muscle. Based on these findings the muscles estimated fuel level, fuel rating and energy status may be determined. An associated system is also disclosed.

A method for quantifying an amount of fat contained in a liver or other tissue of a subject in vivo includes varying the temperature of a target area in a subject, imaging thermal strain of the target area using an ultrasound scanner, and quantifying the amount of fat in the targeted area based on the thermal strain imaging. In some embodiments, the thermal strain imaging is performed using high-resolution, phase-sensitive speckle tracking to differentiate between fat-based tissue and water-based tissue.

A system includes a computing device that receives a query thyroid image, where the query thyroid image is an ultrasound image of a thyroid comprising a thyroid nodule of interest. The computing device processes the query thyroid nodule image using a machine learning model to identify at least one labelled thyroid image from a plurality of labelled thyroid images that is similar to the query thyroid nodule image. The plurality of labelled thyroid images are used as training data to generate the machine learning model. The at least one labelled thyroid image has labels associated therewith and comprises an ultrasound image of a thyroid nodule that has a confirmed diagnosis. The computing device generates an output report based on the labels associated with the at least one labelled thyroid image, where the output report indicates whether the thyroid nodule of interest resembles a malignant thyroid nodule or benign thyroid nodule.

A system and method include control of an ultrasound system transducer to acquire an echo signal power spectrum of a region of tissue for a fundamental frequency band and an echo signal power spectrum of the region of tissue for a harmonic frequency band, wherein a center frequency of the harmonic frequency band is substantially similar to a center frequency of the fundamental frequency band, determination of a first backscatter coefficient based on the echo signal power spectrum of the region of tissue for a fundamental frequency band and an echo signal power spectrum of a reference phantom for the fundamental frequency band, determination of a value representing a second backscatter coefficient and a non-linearity term associated with the region of tissue based on the echo signal power spectrum of the region of tissue for the harmonic frequency band and an echo signal power spectrum of the reference phantom for the harmonic frequency band, determination of the non-linearity term associated with the region of tissue based on the first backscatter coefficient and the value, and display the second backscatter coefficient, the non-linearity term, and a B-mode image of the region of tissue.

An Oblique Backscatter Ultrasound imaging system includes a transceiver that has an US source and a plurality of US detectors configured in receive signals off axis from the US source. While the system is arranged in a reflective configuration, the device produces transmissive contrast signals to yield improved images. The transceiver can be mounted to a movable stage or robotic arm to enable it to scan the surface of a target. Alternatively, scanning can be performed by 1D or 2D phased-array transmission or detection.

Provided is a non-invasive system and method for determining a fuel value for a target muscle and potentially at least one indicator muscle. The method includes receiving an ultrasound scan of a target muscle; evaluating at least a portion of the ultrasound scan to determine fuel value within the target muscle; recording the determined fuel value for the muscle as an element of a data set for the muscle; evaluating the fuel data set to determine a value range; and in response to the range being at least above a pre-determined threshold, establishing a target score for the muscle as based on an upper portion of the value range. The method may be repeated to identify ranges for a plurality of muscles, the muscle with the greatest range being identified as an indicator muscle. Based thereon, the muscles estimated fuel level, fuel rating and energy status may be determined.

Provided are methods of determining if an individual is a responder to treatment with (R)-8-chloro-1-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine or a pharmaceutically acceptable salt, solvate or hydrate thereof. Also provided are methods for selecting an individual for treatment with (R)-8-chloro-1-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine or a pharmaceutically acceptable salt, solvate or hydrate thereof from a plurality of individuals in need of weight management. Also provided are methods for weight management in an individual in need thereof. Also provided are compounds, compositions, and kits for use in a method of weight management in an individual.

A method for providing multiple review modes in a single acquisition scan includes acquiring (204) image frames for a plurality of imaging modes by switching image acquisition modes in real-time during a single acquisition sequence. The image frames are stored (208) in non-transitory memory for each acquisition mode for subsequent review. During review, a display is selectively generated (210) for each of the plurality of imaging modes from stored images for a selected imaging mode such that each of the plurality of image modes is available for review from the single acquisition sequence.

An instrument system that includes an image capture device, an elongate body, an optical fiber and a controller is provided. The elongate body is operatively coupled to the image capture device. The optical fiber is operatively coupled to the elongate body and has a strain sensor provided on the optical fiber. The controller is operatively coupled to the optical fiber and adapted to receive a signal from the strain sensor and to determine a position or orientation of the image capture device based on the signal.

A method and a device for acquiring biomechanical parameters based on an ultrasonic elastomyogram are provided, wherein the method includes: synchronously collecting a dynamic myodynamics image sequence and a dynamic elasticity image sequence of a single skeletal muscle under continuous stretching; acquiring a myodynamics parameter corresponding to each myodynamics image in the dynamic myodynamics image sequence and an elasticity modulus value corresponding to each elasticity image in the dynamic elasticity image sequence respectively; and generating an ultrasonic elastomyogram curve with the myodynamics parameter as the abscissa and the synchronized elasticity modulus value as the ordinate, and estimating a muscle biomechanical parameter based on the ultrasonic elastomyogram curve. Dynamically changing biomechanical parameters can be obtained, and the obtained muscle biomechanical parameters have relatively high accuracy.