Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system and method to acquire 3D ultrasound-based images during the end-systole and end-diastole time points of a cardiac cycle to allow determination of the change and percentage change in left ventricle volume at the time points.

Abstract: A hand-held 3D ultrasound instrument is disclosed which is used to non-d 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.