Verathon Inc.

Diagnostic Ultrasound Corporation

Stephen Dudycha

Gerald J McMorrow

Vikram Chalana

Fuxing Yang

Jongtae Yuk

Bill Barnard

Craig Nelson

William Louis Barnard

Joon Hwan Choi

Timothy Shelton

Si Luo

Matthew Caprio

Yanwei Wang

Tim Shelton

Andrew Yum

Adam Scott Garrison

Susannah Helen Bloch

Steven J Shankle

Gerald Mcmorrow

Timothy Adam Shelton

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.

Ultrasonic data collection

Systems and methods are described for acquiring, processing, and presenting boundaries of a cavity-tissue interface within a region-of-interest in an ultrasound image based upon the strength of signals of ultrasound echoes returning from structures within the region-of-interest. The segmentation of boundaries of cavity shapes occupying the region-of-interest utilizes cost function analysis of pixel sets occupying the cavity-tissue interface. The segmented shapes are further image processed to determine areas and volumes of the organ or structure containing the cavity within the region-of-interest.

System and method to identify and measure organ wall boundaries

Systems, methods, and devices for image clarity of ultrasound-based images are described wherein motion sections are compensated with the still sections of the region of interest. Velocity map analysis of regions-of-interest is determined to compensate for instrument motion from motions attributable to structures within the region of interest. Methods include image processing algorithms applied to collected echogenic data sets and the dispensers that use apply air-expunged sonic coupling mediums.

Systems and methods to improve clarity in ultrasound images

An ultrasound system and method to measure an organ wall weight and mass. When the organ is a bladder, a bladder weight (UEBW) is determined using three-dimensional ultrasound imaging that is acquired using a hand-held or machine controlled ultrasound transceiver. The infravesical region of the bladder is delineated on this 3D data set to enable the calculation of urine volume and the bladder surface area. The outer anterior wall of the bladder is delineated to enable the calculation of the bladder wall thickness (BWT). The UEBW is calculated as a product of the bladder surface area, the bladder wall thickness, and the bladder wall specific gravity.

Systems and methods for determining organ wall mass by three-dimensional ultrasound

A hand-held 3D ultrasound instrument is disclosed which is used to non-invasively and automatically measure amniotic fluid volume in the uterus requiring a minimum of operator intervention. Using a 2D image-processing algorithm, the instrument gives automatic feedback to the user about where to acquire the 3D image set. The user acquires one or more 3D data sets covering all of the amniotic fluid in the uterus and this data is then processed using an optimized 3D algorithm to output the total amniotic fluid volume corrected for any fetal head brain volume contributions.

3D ultrasound-based instrument for non-invasive measurement of amniotic fluid volume

An ultrasound transceiver scans an organ and processes the echogenic signals to produce three-dimensional, two-dimensional, and one-dimensional information of the organ. The 3-D, 2-D, and 1-D information is utilized to determine the thickness, surface area, volume, and mass of the organ wall.

Ultrasound system and method for measuring bladder wall thickness and mass

Ultrasound systems and methods are described to measure changes in cardiac chamber volumes and organ wall areas, thicknesses, volumes and masses between the cardiac chambers using computer readable media employing image processing algorithms applied to 3D data sets acquired at systole and diastole. The systems for cardiac imaging includes an ultrasound transceiver configured to sense the mitral valve of a heart by Doppler ultrasound, an electrocardiograph connected with a patient and synchronized with the transceiver to acquire ultrasound-based 3D data sets during systole and diastole at a transceiver location determined by Doppler ultrasound affected by the mitral valve, and a computer readable medium configurable to process ultrasound imaging information from the 3D data sets communicated from the transceiver.

System and method for cardiac imaging

A system which includes at least one ultrasound data collection device which is programmable to carry out a specific ultrasound procedure on a selected part of a human body of a patient. The resulting ultrasound data is transmitted via a local server at the site of the data collection device to the internet and from there to a web database server which processes the raw ultrasound data to produce medical result information, including ultrasound images, which is then sent to a skilled technician, who accepts the results, rejects or edits them. Accepted medical results are transmitted back to the medical practitioner, while edited medical results are reprocessed, the results of which are transmitted to the medical practitioner.

System for remote evaluation of ultrasound information obtained by a programmed application-specific data collection device

A segmentation algorithm is optimized to robustly locate and measure the volume of fluid filled or non-fluid filled structures or organs from imaging systems derived from ultrasound, computer assisted tomography, magnetic resonance, and position emission tomography. A clinical specimen is measured with a plurality of 2D scan planes processed by the segmentation algorithm to estimate the 2D based area the 3D based volumes of fluid-filled and non-fluid filled organs or structures.

Image enhancement and segmentation of structures in 3D ultrasound images for volume measurements

An ultrasound transceiver scans a bladder in a three dimensional array to measure the thickness and surface area of the bladder to determine bladder mass. The bladder wall thickness and masses may be determined for anterior, posterior, and lateral locations of the bladder.

Growing community of inventors

Bothell, WA, United States of America

Stephen Dudycha