University of Washington

University of Pittsburgh

John Kucewicz

Barbrina Dunmire

Michael R Bailey

Peter John Kaczkowski

Bryan Cunitz

Neil R Owen

Oleg A Sapozhnikov

Gregory Paul Darlington

Kirk Watson Beach

Pierre D Mourad

Justin Reed

Lee David Dunbar

Wei Lu

Francesco P Curra

Adeyinka Adedipe

Graham Nichol

Paul Illian

Anup Shah

Marla Paun

David Salcido

Matthew Sundermann

Peter Kaczkowski

In some embodiments, a blood flow sensor device such as a non-invasive cardiac arrest monitor (NICAM) that uses ultrasound to detect blood flow is used to monitor blood flow during cardiopulmonary resuscitation. One or more gating signal generation devices transmit gating signals to a blood flow monitoring computing device. The blood flow monitoring computing device uses the gating signals to determine time periods during which blood flow information generated by the blood flow sensor device is most likely to be accurate. The blood flow monitoring computing device measures blood flow during the time periods. In some embodiments, the blood flow monitoring computing device presents the measured blood flow to a user. In some embodiments, the blood flow monitoring computing device transmits a command to a chest compression device based on the measured blood flow.

System and method of noninvasive blood flow measurement during cardiopulmonary resuscitation using signal gating

The present technology is generally directed to filtering systems and methods for suppression of reverberation artifacts in ultrasound images. In some embodiments, a method of obtaining a filtered ultrasound image includes taking a first ultrasound image of a target tissue using an applicator. At least a portion of the applicator is moved such that the reverberation artifact ultrasound path length changes relative to the first position of the applicator. A second ultrasound image of the target tissue is then taken. The first and second ultrasound images are synthesized using at least one filtering method. The filtering method attenuates or removes reverberation artifacts in the synthesized ultrasound image.

Filtering systems and methods for supression of non-stationary reverberation in ultrasound images

Described herein are methods and apparatus for detecting stones by ultrasound, in which the ultrasound reflections from a stone are preferentially selected and accentuated relative to the ultrasound reflections from blood or tissue. Also described herein are methods and apparatus for applying pushing ultrasound to in vivo stones or other objects, to facilitate the removal of such in vivo objects.

Ultrasound based method and apparatus for stone detection and to facilitate clearance thereof

Tissue Pulsatility Imaging (TPI) is an ultrasonic technique developed to measure tissue displacement or strain in the brain due to blood flow over the cardiac and respiratory cycles. Such measurements can be used to facilitate the mapping of brain function as well as to monitor cerebral vasoreactivity. Significantly, because tissue scatters ultrasound to a greater extend than does blood, using ultrasound to measure tissue displacement or strain in the brain is easier to implement than using ultrasound to measure blood flow in the brain. Significantly, transcranial Doppler sonography (TCD) has been used to measure blood flow in the brain to map brain function and monitor cerebral vasoreactivity; however, TCD can only acquire data through the three acoustic windows in the skull, limiting the usefulness of TCD. TPI is not so limited.

Ultrasonic tissue displacement/strain imaging of brain function

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Seattle, WA, United States of America

John Kucewicz