University of Washington

George Mason University

Siddhartha Sikdar

Yongmin Kim

Kirk Watson Beach

Joseph J Pancrazio

Abdullah Al-Imran

Ira A Hunt

Andrew J Nelson

Shahram Vaezy

Vesna Zderic

Ravi A Managuli

Parag Chitnis

Paul Otto

Paul Gammell

Nima Akhlaghi

Elizabeth Tarbox

Robert Held

Ravi Managuli

The artificial body part control system using ultrasonic imaging includes of an ultrasonic transducer coupled with an ultrasonic image analyzer which may be adapted to transmit a control signal to an artificial body part.

Artificial body part control system using ultrasonic imaging

Methods, systems, and apparatuses are disclosed for ultrasound imaging comprising Time Delay Spectrometry. A frequency swept signal can be transmitted through a medium, such as human tissue. The signal can be a low-voltage signal (e.g., 0 volts to 5 volts peak-to-peak) transmitted for long duration (e.g., 20 milliseconds) at various frequencies. As the signal propagates through the medium it can be reflected and delayed. A delay associated with the signal the can cause a change in the associated frequencies. The signal can be filtered to retain only frequencies in an audio frequency range. The signal can be beamformed and processed to produce an image.

Method and apparatus for low-power ultraportable ultrasound imaging

A real-time signal processing technique for ultrasonic imaging of tissue vibrations for localizing the source of a bruit in a 2D image with respect to the anatomy and/or for obtaining simultaneous information about vibrations and the underlying blood flow. The bruit can be quantitatively assessed using an ensemble of ultrasound echoes. Signal processing enables estimation of wall displacement and the display of time-resolved vibration spectrum. Vibrations are detected and color-coded according to their amplitude and frequency and overlaid on the B-mode and/or color-flow image in real time. Proposed vibration imaging algorithms use data acquired during conventional ultrasonic color-flow imaging and the clutter signal, normally suppressed in color-flow imaging, to detect and characterize tissue vibrations. Three vibration imaging algorithms based on parametric modeling of vibrations and other criteria distinguish between clutter, blood flow, and vibrations. The techniques are usable to detect, locate, image, and quantitatively grade stenoses in blood vessels.

Ultrasonic technique for assessing wall vibrations in stenosed blood vessels

An ultrasound based technique for detecting and imaging vibrations in tissue caused by eddies produced during bleeding through punctured arteries or from organs. A clutter signal, normally suppressed in conventional color flow imaging, is employed to detect and characterize local tissue vibrations, to detect internal bleeding in an image, or as an audible or palpable signal, or a readout. Using a tissue vibration image, the origin and extent of vibrations relative to the underlying anatomy and blood flow can be visualized in real time, enabling measurements of vibration amplitude, frequency, and spatial distribution. Bleeding rate can be determined from the frequency and amplitude of the vibrations. Signal processing algorithms usable to identify tissue vibrations from an ensemble of 2D ultrasound data include those based on phase decomposition, spectral estimation using eigendecomposition, and spectral estimation using autoregressive modeling for isolating vibrations from clutter, blood flow, and noise.

Transcutaneous localization of arterial bleeding by two-dimensional ultrasonic imaging of tissue vibrations

Disclosed herein is a method for obtaining a composite interference-free ultrasound image when non-imaging ultrasound waves would otherwise interfere with ultrasound imaging. A conventional ultrasound imaging system is used to collect frames of ultrasound image data in the presence of non-imaging ultrasound waves, such as high-intensity focused ultrasound (HIFU). The frames are directed to a processor that analyzes the frames to identify portions of the frame that are interference-free. Interference-free portions of a plurality of different ultrasound image frames are combined to generate a single composite interference-free ultrasound image that is displayed to a user. In this approach, a frequency of the non-imaging ultrasound waves is offset relative to a frequency of the ultrasound imaging waves, such that the interference introduced by the non-imaging ultrasound waves appears in a different portion of the frames.

Interference-free ultrasound imaging during HIFU therapy, using software tools

Growing community of inventors

Washington, DC, United States of America

Siddhartha Sikdar