Leland Stanford Junior University

Regents of the University of Minnesota

University of Washington

Juergen Karl Willmann

Jeremy Joseph Dahl

Benjamin Joseph Hackel

Teresa A Brentnall

Dongwoon Hyun

Lawrence Arthur Stern

Sheng Pan

Taehwa Lee

Lotfi Abou-Elkacem

Patrick Samuel Lown

Rakesh Kumar Bam

Amelie Margarete Marianne Lutz

Affibody polypeptides that specifically bind to B7-H3 are provided. Exemplary anti-B7-H3 affibodies are provided. The affibody polypeptides specifically recognize and bind to B7-H3 with high affinity. The affibodies can be conjugated to contrast agents, including without limitation microbubbles for contrast-enhanced ultrasound imaging

Affibody proteins specific for B7-H3 (CD276)

The present invention provides reagents and methods for detecting cancer and precancerous lesions in a patient.

Methods and compositions for cancer diagnosis

A passive cavitation mapping method is provided that includes capturing a channel signal from at least one ultrasound transducer in an array of ultrasound transducers, isolating a cavitation signal in the channel signal, time-gating the channel signal about the cavitation signal, computing a time-delay between neighboring the cavitation signals in adjacent the channel signals, computing a modified parabolic fit to the square of the arrival times, where the modified parabolic fit includes a coordinate transformation using an x location of a leading edge of wavefronts of the cavitation signal and a maximum arrival time of the cavitation signal, extracting a location of a cavitation signal source at point (x, z) in the coordinate transformation, computing a cavitation magnitude for each non-eliminated cavitation signal, creating a passive cavitation map by convolving the cavitation magnitude and the source location with an uncertainty function, and using the cavitation map for therapeutic ultrasound applications.

System and device for improved ultrasound cavitation mapping

Ultrasonic imaging is performed by constructing spatial coherence images of a target having microbubbles in it. The basis for this approach is the observation that the spatial coherence of microbubbles differs from the spatial coherence of tissue and the spatial coherence of image noise. Therefore, imaging based on spatial coherence provides a way to suppress noise signals and tissue signals relative to the microbubble signals.

Coherence-based beamforming for improved microbubble detection in contrast enhanced ultrasound

Growing community of inventors

Stanford, CA, United States of America

Juergen Karl Willmann