WILLIAM G BRADLEY, MD PHD
Radiology at Arbor Dr, San Diego, CA

2010021, Aug 19, 2010

Nov 16, 2009

12/619567

William G. Bradley - La Jolla CA, US
Thilo Hoelscher - San Diego CA, US
Michael Brant-Zawadzki - Newport Beach CA, US

HOAG MEMORIAL HOSPITAL PRESBYTERIAN - Newport Beach CA
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - Oakland CA

A61B 5/05, A61N 7/00

600427, 601 2

Techniques and systems are disclosed for performing mechanical ablation of blood clots using low-intensity ultrasound. A system includes a computed tomography (CT) scanner to acquire axial scans of a target subject containing at least one intravascular blood clot, and generate volumetric CT data of the target subject based on the acquired axial scans. A data processing device is in communication with the CT scanner to process the generated volumetric CT data, and identify at least one parameter of an ultrasound beam to ablate the at least one intravascular blood clot based on the processed volumetric CT data. Also, an ultrasound ablation device is in communication with the data processing device to generate the ultrasound beam based on the identified at least one parameter, and apply the generated ultrasound beam with the identified at least one parameter to ablate the at least one intravascular blood clot.

4991223, Feb 5, 1991

Jun 30, 1988

7/213725

William C. Bradley - San Diego CA

American Innovision, Inc. - San Diego CA

G06K 900

382 17

The invention is an apparatus and method for tracking colors in image features by using color elements. A scan signal representing a scanned imaage with colored features is converted into color element signals representing instantaneous magnitude values of predetermined color elements. These values are compared against predetermined color element magnitude value combinations representing expected colors of features in the image. If the instantaneous magnitude values match a predetermined color element value combination, the corresponding color is correlated with a picture element of the scanned image. More elaborately, image features are recognized by comparing the matched combination with the expected image feature locations. When a set of instantaneous values matching one of the expected color element combinations is correlated with an expected location, a determination is made whether the color element combination is one expected for the particular feature location. It is expected that each image feature will be substantially invariant chromatically.