A device for a mobile ultrasound unit having an ultrasound probe includes a trained orientation neural network and a result converter. The trained orientation neural network receives a non-canonical image of a body part from the mobile ultrasound unit and generates a transformation transforming between a position and rotation associated with a canonical image and a position and rotation associated with the non-canonical image. The result converter converts the transformation into position and/or rotation instructions of the probe and displays the position and/or rotation instructions to a user to change the position and/or rotation of the probe.

Various embodiments enable calibrating a non-invasive blood pressure measurement device by determining multiple parameters defining a stress-strain relationship of an artery of a patient. The device may obtain output signals from a blood pressure sensor at two or more measurement elevations. The obtained measurement signals may be filtered into AC and quasi-DC components, and results fit to exponential functions to calculate an arterial time constant and a veinous time constant related to vein draining/filling rates. The arterial and veinous time constants may be used to calculate an infinity ratio. The infinity ratio and the obtained sensor output may be used to calculate values for multiple parameters defining a stress-strain relationship of a measured artery. Once defined, this stress-strain relationship may be stored and applied to future sensor output signals (e.g., blood pressure measuring sessions) to infer patient blood pressure.

An apparatus for deriving tissue temperature from thermal strain includes a thermal strain measuring module. The module uses ultrasound (156, 158) to measure thermal strain in a region, within a subject, that surrounds a location (166a, 166f) where a temperature sensor is disposed. Also included is a temperature measurement module configured for, via the sensor, measuring a temperature at the sensor while the sensor is inside the subject. Further included is a patient-specific thermal-strain-to-temperature-change proportionality calibration module. The calibration module is configured for calibrating (S238) a coefficient and for doing so based on a measurement of a temperature parameter at that location derived from output of the temperature measurement module and on a measurement of thermal strain at that location obtained via the strain measuring module. The coefficient is usable, in conjunction with a thermal strain measurement derived from another location within the region, in evaluating (S242), for that other location, another temperature parameter.

In an ultrasound system and a control method of the ultrasound system, an ultrasound image generated from a reception signal obtained by performing transmission and reception of an ultrasound beam with respect to a subject using an ultrasound probe in a state where the ultrasound probe is separated from a body surface of the subject is acquired as an aerial radiation image; whether or not protective equipment is attached to the ultrasound probe is determined by analyzing the aerial radiation image; and a warning is issued to a user in a case where it is determined that the protective equipment is not attached to the ultrasound probe.

Systems and methods for determining optimized imaging parameters for imaging a patient include learning a model of a relationship between known imaging parameters and a quality measure, the known imaging parameters and the quality measure being determined from training data. Optimized imaging parameters are determined by optimizing the quality measure using the learned model. Images of the patient are acquired using the optimized imaging parameters.

A method for training an ultrasound user with a hand-held device having one or more first sensors to detect angular orientation of the device in one or more dimensions, and at least one two-dimensional surface device having one or more second sensors to detect translational position of the hand-held device in one or more directions, which communicates the angular orientation data from the hand-held device and the translational position data from the at least one surface device to a computer to display a virtual environment with a virtual hand-held device that moves in correlation with the hand-held device based on the angular orientation data from the hand-held device and the translational position data from the at least one surface device.

An ultrasound imaging system includes a processor circuit in communication with an ultrasound probe. The processor circuit receives, from the ultrasound probe, ultrasound data representative of an ultrasound beam imaging an anatomical structure. The processor circuit determines, based on the ultrasound data, a measured boundary of the anatomical structure. The measured boundary includes multiple locations. The processor circuit determines correction vectors corresponding to the locations of the measured boundary. A magnitude of a respective correction vector is based on a depth of a corresponding location relative to the ultrasound probe and/or an orientation of the measured boundary at the corresponding location relative to the ultrasound beam. The processor circuit applies the correction vectors to the locations of the measured boundary to determine a corrected boundary. The processor circuit outputs, to a display, an ultrasound image based on the ultrasound data. The ultrasound image includes the corrected boundary.

Systems and methods for ablating tissue include an ablation device having an energy source and a sensor. The energy source provides a beam of energy directable to target tissue, and the sensor senses energy reflected back from the target tissue. The sensor collects various information from the target tissue in order to facilitate adjustment of ablation operating parameters, such as changing power or position of the energy beam. Gap distance between the energy source and target tissue, energy beam incident angle, tissue motion, tissue type, lesion depth, etc. are examples of some of the information that may be collected during the ablation process and used to help control ablation of the tissue.

The present invention relates to a lightweight, high resolution portable ultrasound system using components and methods to improve connectivity and ease of use. A preferred embodiment includes an integrated system in which the beamformer control circuitry can be inserted into the host computer as a peripheral or within the processor housing.

Provided is a method of adjusting brightness of an ultrasound image including: generating at least one first image representing a region of interest (ROI) by using echo signals corresponding to ultrasound waves irradiated toward the ROI; adjusting brightness of the at least one first image based on an external signal for selecting at least one selected from a plurality of prestored gradation data and a plurality of prestored image data; and generating a second image representing the ROI based on the adjusted brightness.