A system utilizing thermoacoustic imaging to estimate tissue temperature within a region of interest that includes an object of interest and a reference which are separated by at least one boundary located at least at two boundary locations. The system uses a thermoacoustic imaging system that includes an adjustable radio frequency (RF) applicator configured to emit RF energy pulses into the tissue region of interest and heat tissue therein and an acoustic receiver configured to receive multi-polar acoustic signals generated in response to heating of tissue in the region of interest; and one or more processors that are able to: process received multi-polar acoustic generated in the region of interest in response to the RF energy pulses to determine a peak-to-peak amplitude thereof; and calculate a temperature at the at least two boundary locations using the peak-to-peak amplitudes of the multi-polar acoustic signals and a distance between the boundary locations.

An ultrasound diaphragmography device includes a plurality of piezoelectric ultrasound transducers arranged in at least two linear arrays for placement on a patient's chest along a cranio-caudal axis of the patient. The ultrasound transducers generate and transmit ultrasound waves that penetrate the patient's anatomy and receive returned ultrasound waves. Circuitry in communication with the ultrasound transducers receive the returned ultrasound waves and analyzes the returned ultrasound waves to determine the quality of the patient's lung function in real-time and compare the movement of the left and right hemidiaphragms.

Transducer probes for ophthalmological instruments operating without the use of light (such as contact tonometers and ultrasound pachymeters)—whether structured substantially monolithically (as one piece) or in a hybrid or composite fashion (and, therefore, reversibly separable into constituent components)—the axially-located front transducer surface of which is surrounded by a ridge of material not representing the surface of the transducer, in which the overall front cornea-contacting surface of which is inwardly shaped to reduce or even completely avoid measurement errors associated with the use of conventionally-structured versions of probes traditionally use with such instruments. Ophthalmological instruments utilizing such probes and methods of use. Biological protection of eye during use of such instruments.

Disclosed herein is a non-invasive system for determining tissue composition. The system comprises an imaging system with a non-invasive probe, a signal analyzer, and a correlation processor. The probe includes active imaging components for emitting energy and collecting imaging data including reflected signals from an object of interest. The signal analyzer analyzes the imaging data and determines one or more signal properties from the reflected signals. The correlation processor then associates the one or more signal properties to pre-determined tissue signal properties of different tissue components through a pattern recognition technique wherein the pre-determined tissue signal properties are embodied in a database, and identifies a tissue component of the object based on the pattern recognition technique.

Provided is a non-invasive system and method of determining pennation angle and/or fascicle length based on image processing. An ultrasound scan image is processed to facilitate distinguishing of muscle fiber and tendon. The processed ultrasound scan image is then analyzed. The pennation angle and/or fascicle length is determined based on the analysis. An example method includes receiving an ultrasound scan image of at least a portion of a skin layer as disposed above one or more additional tissue layers, the image provided by a plurality of pixels. The method continues by introducing noise into the pixels of the image and thresholding the pixels of the image to provide a binary image having a plurality of structural elements of different sizes. The method continues with morphing the structural elements of the binary image to remove small structural elements and connect large structural elements. With this resulting image, the method distinguishes muscle fiber and tendon from remaining elements and determines the pennation angle and/or the fascicle length from the muscle fiber and the tendon. Associated apparatuses and computer program products are also disclosed.

Various methods and systems are provided for a medical imaging system. In one embodiment, a method includes acquiring a series of medical images of a lung, identifying a pleural line in each medical image of the series, evaluating the pleural line for irregularities in each medical image of the series, and outputting an annotated version of each medical image of the series, the annotated version including visual markers for healthy pleura and irregular pleura. In this way, an operator of the medical imaging system may be alerted to pleural irregularities during a scan.

A blood pressure detection method is provided. The method comprising: obtaining wrist circumference data, wrist fat thickness data, and blood pressure data and correcting the blood pressure data based on the wrist circumference data and the wrist fat thickness data.

A system provides combined diffuse optical microscopy (DOM) and fluorescence endomicroscopy (FE). The system may use a single light source which generates structured illumination for both modalities. FE and DOM images may be displayed for qualitative assessment. Quantitative assessments may be based on both FE and DOM images. The quantitative assessments may be applied to characterize tissues. Some embodiments provide multi-spectral DOM.

A method and system of predicting a muscle characteristic using ultrasound. The characteristic may include a tenderness characteristic and/or a strength characteristic. An analysis of muscle structure is performed for a sample using ultrasound data of the sample. The analysis may include determining a relative number of bundles, fascicles, sarcomeres, fibers, and/or sheath thickness from the ultrasound data. Thereafter, the muscle characteristic is predicted for the sample based on the analysis.

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.