A method for automatically determining a depth of a vascular feature on an ultrasound image feed, acquired from an ultrasound scanner comprises displaying, on a screen that is communicatively connected to the ultrasound scanner, the ultrasound image feed comprising ultrasound image frames of a region of interest comprising the vascular feature, activating a Doppler mode of the ultrasound scanner, in which the ultrasound scanner obtains a Doppler-mode ultrasound signal corresponding to the region of interest comprising the vascular feature, applying at least one image processing filter to preserve the Doppler-mode ultrasound signal (the “preserved Doppler-mode signal”), generating from the preserved Doppler-mode signal of the vascular feature as returned to the ultrasound scanner, the depth of the vascular feature and indicating depth of the vascular feature to a user of ultrasound scanner

A method and system for monitoring ultrasound tests and notifying users about test results, are described. The method includes receiving ultrasound test data representing blood flow in a blood vessel, and receiving a notification condition having a flow parameter threshold for the blood flow. The method includes determining whether the ultrasound test data meets the notification condition, and transmitting, in response to the ultrasound test data meeting the notification condition, a notification. The notification is sent in real-time, concurrently with the ultrasound test, and includes a selectable reference to cause the display of the test results on a user device. Other embodiments are also described and claimed.

Systems and methods for non-invasively estimating right ventricular pressure are provided. Tricuspid regurgitation echocardiography Doppler signals can be acquired utilizing sonography. Digitization and interpolation of the tricuspid regurgitation Doppler signals can be utilized to estimate tricuspid regurgitation and right ventricular pressure and/or provide a metric for signal quality (quality control) as well as increase confidence in the right ventricular pressure estimates.

This invention discloses an image analysis system and method, which detects blood vessels in ultrasound structural B-mode images using deep learning and identifies blood vessel type (vein or artery) based on automatic Doppler spectrogram features analysis. Such an automatic solution is important for successful catheter insertion under ultrasound guidance or other procedures which requires differentiation between the arteries or the veins or quantitative characterization of blood flow. The system contains: an ultrasound scanner with implemented B-mode and PW mode equipped with probe and algorithms implemented as software modules in the ultrasound scanner: 1) for automatic vessel tracking in real-time based on deep learning and, 2) algorithms for Doppler spectrogram quality assessment and parameterization by using quantitative spectrogram features. The system detects and classifies scanned vessels according to blood flow into: 1) arteries, or 2) veins.

An ultrasonic diagnostic apparatus according to an embodiment has transmitting and receiving circuitry that transmits and receives ultrasonic waves, and processing circuitry. The transmitting and receiving circuitry is configured to perform first beamforming processing on reflected wave signals output from a plurality of transducer elements that receive reflected waves and perform second beamforming processing different from the first beamforming processing on the reflected wave signals. The processing circuitry is configured to calculate an evaluation value of spatial correlation of the reflected wave signals and perform third beamforming processing based on a first processing result that is a processing result of the first beamforming processing, a second processing result that is a processing result of the second beamforming processing, and the evaluation value.

Within the field of elastography, a new approach analyzes the limiting case of shear waves established as a reverberant field. In this framework, it is assumed that a distribution of shear waves exists, oriented across all directions in 3D (e.g. 2D space+time). The simultaneous multi-frequency application of reverberant shear wave fields can be accomplished by applying an array of external sources that can be excited by multiple frequencies within a bandwidth, for example 50, 100, 150, . . . 500 Hz, all contributing to the shear wave field produced in the liver or other target organ. This enables the analysis of the dispersion of shear wave speed as it increases with frequency, indicating the viscoelastic and lossy nature of the tissue under study. Furthermore, dispersion images can be created and displayed alongside the shear wave speed images. Studies on breast and liver tissues using the multi-frequency reverberant shear wave technique, employing frequencies up to 700 Hz in breast tissue, and robust reverberant patterns of shear waves across the entire liver and kidney in obese patients are reported. Dispersion images are shown to have contrast between tissue types and with quantitative values that align with previous studies.

Methods for performing non-invasive thrombolysis with ultrasound using, in some embodiments, one or more ultrasound transducers to focus or place a high intensity ultrasound beam onto a blood clot (thrombus) or other vascular inclusion or occlusion (e.g., clot in the dialysis graft, deep vein thrombosis, superficial vein thrombosis, arterial embolus, bypass graft thrombosis or embolization, pulmonary embolus) which would be ablated (eroded, mechanically fractionated, liquefied, or dissolved) by ultrasound energy. The process can employ one or more mechanisms, such as of cavitational, sonochemical, mechanical fractionation, or thermal processes depending on the acoustic parameters selected. This general process, including the examples of application set forth herein, is henceforth referred to as “Thrombolysis.”

Methods for performing non-invasive thrombolysis with ultrasound using, in some embodiments, one or more ultrasound transducers to focus or place a high intensity ultrasound beam onto a blood clot (thrombus) or other vascular inclusion or occlusion (e.g., clot in the dialysis graft, deep vein thrombosis, superficial vein thrombosis, arterial embolus, bypass graft thrombosis or embolization, pulmonary embolus) which would be ablated (eroded, mechanically fractionated, liquefied, or dissolved) by ultrasound energy. The process can employ one or more mechanisms, such as of cavitational, sonochemical, mechanical fractionation, or thermal processes depending on the acoustic parameters selected. This general process, including the examples of application set forth herein, is henceforth referred to as “Thrombolysis.”

An ultrasound diagnostic apparatus and a control program for an ultrasound diagnostic apparatus. According to an embodiment, the ultrasound diagnostic apparatus includes an ultrasound probe that transmits and receives ultrasound waves to and from a subject in three dimensional space, a position sensor, and a processor. The processor is configured to determine whether or not a first region and a second region configure the same three dimensional region across a first scanning surface and a second scanning surface. The processor is configured to perform, based on the determining result, processing to obtain information representing the size of the three dimensional region in a direction intersecting the first scanning surface and the second scanning surface. The processor is configured to perform control for notifying the information.

An ultrasound diagnostic apparatus and a control program for an ultrasound diagnostic apparatus. According to an embodiment, the ultrasound diagnostic apparatus includes an ultrasound probe that transmits and receives ultrasound waves to and from a subject in three dimensional space, a position sensor, and a processor. The processor is configured to determine whether or not a first region and a second region configure the same three dimensional region across a first scanning surface and a second scanning surface. The processor is configured to perform, based on the determining result, processing to obtain information representing the size of the three dimensional region in a direction intersecting the first scanning surface and the second scanning surface. The processor is configured to perform control for notifying the information.