Verathon Inc.

Luo, Si

Dudycha, Stephen

Choi, Joon Hwan

Garrison, Adam Scott

Joon Hwan Choi

Fuxing Yang

Si Luo

Kendall R Waters

Monali Padwal

Nasser Saber

Craig Nelson

Stephen Dudycha

Nikolas Ivancevich

Matthew Caprio

Dave Scott

Adam Scott Garrison

Andrew Yum

Laurence Neil Hunn

Craig E Nelson

Maurice Dunne

A system may include a probe configured to transmit ultrasound signals to a target of interest, and receive echo information associated with the transmitted ultrasound signals. The system may also include at least one processing device configured to process the received echo information using a machine learning algorithm to generate probability information associated with the target of interest. The at least one processing device may further classify the probability information and output image information corresponding to the target of interest based on the classified probability information.

Probability map-based ultrasound scanning

A system may include an ultrasound probe and a controller unit configured to aim the ultrasound probe to transabdominally image a patient's prostate and obtain a transabdominal image of the patient's prostate using the aimed ultrasound probe. The controller unit may be further configured to perform a segmentation process on the obtained transabdominal image of the patient's prostate using a trained machine learning model to identify a boundary of the prostate in the transabdominal image of the patient's prostate.

Automated prostate analysis system

A system includes a number of transducers configured to transmit ultrasound signals directed to a target blood vessel and receive echo information associated with the transmitted ultrasound signals. The system also includes a processing device configured to process the echo information, generate ultrasound images of the blood vessel at a number of locations and generate an estimated diameter of the blood vessel at the locations. The processing device is also configured to output image information associated with the blood vessel and output a maximum estimated diameter of the blood vessel or the estimated diameters at the number of locations based on the image information.

Systems and methods for ultrasound scanning

A system may include an ultrasound probe and a controller unit configured to communicate with the ultrasound probe. The controller unit may be further configured to select an aiming mode for the ultrasound probe; select a first aiming mode plane, scanning mode, or imaging mode; select at least one additional aiming mode plane, scanning mode, or imaging mode; toggle between obtaining and displaying ultrasound images associated with the first aiming mode plane, scanning mode, or imaging mode and obtaining and displaying ultrasound images associated with the at least one additional aiming mode plane, scanning mode, or imaging mode; receive a selection of a three-dimensional (3D) scan mode; and perform a 3D scan using the ultrasound probe, in response to receiving the selection of the 3D scan mode.

Multi-plane and multi-mode visualization of an area of interest during aiming of an ultrasound probe

A system may include an ultrasound probe and a controller unit configured to obtain a baseline ultrasound image of a patient's breast area using the ultrasound probe and to obtain a follow-up ultrasound image of the patient's breast area using the ultrasound probe. The controller unit may further be configured to use one or more machine learning models to compare the baseline ultrasound image with the follow-up ultrasound image; detect a change in a morphology or integrity of the patient's breast area based on the comparison of the baseline ultrasound image with the follow-up ultrasound image; and generate a recommendation for a medical intervention based on the detected change.

Implant assessment using ultrasound and optical imaging

A system may include an ultrasound probe and a controller unit configured to communicate with the ultrasound probe. The controller unit may be further configured to transmit ultrasound signals using the ultrasound probe toward an area of interest in a patient's body, wherein the ultrasound signals include a fundamental frequency signal and at least one harmonic frequency signal; receive echo signals from the area of interest based on the transmitted ultrasound signals; obtain a fundamental frequency echo signal and at least one harmonic frequency echo signal from the received echo signals; and generate a visual representation of the area of interest based on the obtained fundamental frequency echo signal and the obtained at least one harmonic frequency echo signal.

Multiple frequency scanning using an ultrasound probe

A system includes an ultrasound probe comprising an ultrasound transducer, a first motor configured to rotate the ultrasound transducer around a horizontal axis to scan a plane, and a second motor configured to rotate the ultrasound transducer around a vertical axis to move to a different plane. The system further includes a controller unit configured to select a number of scan planes for an interlacing scan to scan a volume of an area of interest in a patient's body using the ultrasound probe; select an interlacing factor for the interlacing scan; divide the scan planes into groups of scan planes based on the interlacing factor; and perform the interlacing scan by controlling the first motor and the second motor, wherein the first motor moves in a first direction for at least some of the scan planes and in a second direction for other ones of the scan planes.

Generalized interlaced scanning with an ultrasound probe

A method for providing artifact detection and visualization during ultrasound image collection is performed by a processor in an ultrasound system. The method includes receiving ultrasound image data from an ultrasound probe, detecting areas with artifacts in the ultrasound image data, classifying the areas with artifacts into one of a plurality of available artifact classes, generating an indication of the areas with artifact for an ultrasound-based image, wherein the indications include a designation of the artifact class, and presenting to an operator the ultrasound-based image and the indication of the areas with artifacts.

Echo window artifact classification and visual indicators for an ultrasound system

A bladder monitoring system includes a scanning system and a wearable bladder monitoring device (or patch). The scanning system obtains scan data that shows a bladder in a patient and identifies, based on the scan data, a placement location on the patient for the wearable bladder monitoring device. The scanning system indicates the placement location to a user; and identifies customization settings for one or more sensors of the wearable bladder monitoring device to enable the one or more sensors to detect extents of the bladder when the wearable bladder monitoring device is attached at the placement location.

Bladder monitoring system

A system includes a probe configured to transmit ultrasound signals to a target blood vessel, and receive echo information associated with the transmitted ultrasound signals. The system may also include at least one processing device configured process the received echo information and generate an ultrasound image of the blood vessel and identify a seed position within the blood vessel based on the ultrasound image. The at least one processing device may further generate an estimated contour for a lumen of the blood vessel based on pixel intensity values associated with the ultrasound image, generate an estimated contour for the blood vessel using the pixel intensity values, determine whether a thrombus exists within the blood vessel and output image information illustrating the estimated contours of the lumen and the blood vessel.

Thrombus detection during scanning

A system includes at least one wearable device configured to monitor a bladder volume of a user associated with the at least one wearable device, monitor moisture associated with the user, and transmit information regarding the bladder volume and moisture. The system also includes a display device configured to receive the information regarding the bladder volume and moisture from the at least one wearable device, and display information to the user based on the received information.

Systems and methods for bladder health management

A method for calibrating an ultrasound probe includes receiving, from the ultrasound probe, data of a target within a test fixture, wherein the target includes a repetitive pattern along two axes; generating a first ultrasound image of the target; and identifying distortion of the target in the first ultrasound image. The method also includes estimating, based on identifying the distortion, offset parameter values for one or more of three angular errors within the ultrasound probe; generating a second ultrasound image of the target using the offset parameter values; identifying corrected distortion of the target in the second ultrasound image; and storing the offset parameter values.

System and method for calibration of mechanical three-dimensional ultrasound probe

A method for determining a contour of an organ in an ultrasound image is performed by a processor in a base unit. The method includes detecting an organ within the ultrasound image; obtaining a centroid position for the organ; extending a set of radial lines from the centroid position beyond an expected organ boundary; determining cost values at candidate nodes on each radial line, of the set of radial lines, by applying costs along gradient vectors that are normal to a contour between adjacent nodes on different radial lines; and selecting a final organ boundary contour based on a cost function analysis of paths through the candidate nodes.

Active contour model using two-dimensional gradient vector for organ boundary detection

Embodiments include systems and or methods directed to ultrasound calibration, real-time C-mode approaches, calibration using a plate target, a ball-and-socket scan mechanism, a spherical spiral path scan mechanism, and a wireless disposable laryngoscope.

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Bothell, WA, United States of America

Joon Hwan Choi