William Sean Kerwin, 563847 Beach Dr SW, Seattle, WA 98116

7340083, Mar 4, 2008

Jun 29, 2005

11/172415

Chun Yuan - Belleuve WA, US
Thomas S. Hatsukami - Mercer Island WA, US
Renu Virmani - Chevy Chase MD, US
Jianming Cai - Beijing, CN
William S. Kerwin - Seattle WA, US
Marina S. Ferguson - Seattle WA, US

University of Washington - Seattle WA

G06K 9/00
G06F 7/60
G06F 17/10

382128, 703 2

A method for characterizing the risk associated with atherosclerosis is disclosed. The method uses one or more images of cross-sections of the artery or other vessel of interest to identify and locate components of the atherosclerotic deposit, including any hemorrhage, necrotic core, and calcification, and to determine the status and composition of the fibrous cap. In one embodiment, high resolution MRI images are utilized, although other imaging modalities may alternatively be used. A simple scoring system is applied that accounts for the presence of these components and more heavily weights the presence of these components in the juxtaluminal portion of the deposit. The status of the fibrous cap (intact or ruptured) and the composition of the fibrous cap (collagen or mixed tissue) are also incorporated into a final atherosclerosis risk score.

7894664, Feb 22, 2011

Mar 22, 2007

11/690063

William S. Kerwin - Seattle WA, US
Hunter R. Underhill - Seattle WA, US

University of Washington - Seattle WA

G06K 9/62

382155, 382159, 382224

A conditional active shape model wherein a training set of images of objects in a class of objects to be identified, such as vascular cross-sections, is supplemented with training observations of at least one second characteristic of the object. A conditional mean shape of the objects is calculated, conditioned on the second characteristic, thereby reducing the size of the probable search space for the shape. A conditional covariance matrix of the shapes is calculated, conditioned on the second characteristic, and the eigenvectors of the conditional covariance matrix corresponding to largest eigenvalues are calculated. The conditional mean shape, and the eigenvalues and eigenvectors of the conditional covariance matrix are then used in an active shape model to identify the shapes of objects in subsequent images.

8131336, Mar 6, 2012

Jun 1, 2006

11/445510

Fei Liu - Seattle WA, US
William S Kerwin - Seattle WA, US
Dongxiang Xu - Seattle WA, US
Chun Yuan - Bellevue WA, US

University of Washington - Seattle WA

A61B 5/05

600407, 600410, 600425, 382173

A method for the automated segmentation of in vivo image data is disclosed. A region of carotid artery in a number of patients was imaged using MRI. Histological data for each imaged region was then obtained, identifying various atherosclerotic plaque components in the imaged region. A portion of the histological data, and the image data, was used to generate PDFs based on image intensity, and on morphological data (local wall thickness and distance from lumen). The remaining data was used to validate the method. A plurality of MRI images were taken at various weightings, and the images were registered and normalized. The lumen and outer wall boundary were identified. The PDFs were combined in a Bayesian analysis with the intensity and morphological data to calculate the likelihood that each pixel corresponded to each of four plaque components. A contour algorithm was applied to generate contours segmenting the images by composition.

2010031, Dec 9, 2010

May 19, 2010

12/783327

William S. Kerwin - Seattle WA, US
Dongxiang Xu - Seattle WA, US
Chun Yuan - Bellevue WA, US

University of Washington Center for Commercialization - Seattle WA

A61B 5/055
A61B 8/00
A61B 5/00
G06K 9/00

600410, 600437, 600300, 382128

A novel technique directed toward risk assessment of a patient's plaque vulnerability, wherein clinical events may be caused by internal plaque components affecting a lumen within an artery. A surface area projection or shadow of one or more plaque components onto a lumen can be measured and assessed. Optionally, a total volume projection onto the lumen can also be measured and assessed to refine the determination of risk to a patient and to monitor the progression of atherosclerosis over time.

2011024, Oct 6, 2011

Apr 2, 2010

12/753502

William S. Kerwin - Seattle WA, US
Hui Hu - Seattle WA, US
Dongxiang Xu - Seattle WA, US
Michael George Hartmann - Topsfield MA, US

A61B 5/05
G06K 9/62

600407, 382128

A method and system for in-vivo characterization of lesion feature is disclosed. Using a non-invasive medical imaging apparatus, an image of an interior region of a patient's body is obtained. The interior region may include lesion feature (such as plaques) components from a list of components. The lesion feature components are identified by classifying each point in the image as either corresponding to one of the lesion feature components in the list of components or not, using image intensity information and image morphology information, a first relationship (such as an intensity score) correlating image intensity information with the components in the list of components and a second relationship (such as a morphology score) correlating image morphology information with the components in the list of components. Further, a variety of lesion feature characteristics is derived from the result of the classification.

2014004, Feb 13, 2014

Apr 13, 2012

14/112267

Jinnan Wang - Seattle WA, US
Michael Günter Helle - Padenstedt, DE
William Sean Kerwin - Seattle WA, US
Peter Boernert - Hamburg, DE
Chun Yuan - Bellevue WA, US

THE UNIVERSITY OF WASHINGTON - Seattle WA
KONINKLIJKE PHILIPS N.V. - Eindhoven

G01R 33/563

324306

Magnetic resonance (MR) spins are inverted by applying an inversion recovery (IR) radio frequency pulse (). MR signals are acquired at an inversion time (TI) after the IR radio frequency pulse. TI is selected such that a first tissue of interest (e.g., blood) exhibits negative magnetism excited by the IR radio frequency pulse and a second tissue (e.g., intraplaque hemorrhage tissue) exhibits positive magnetism excited by the IR radio frequency pulse. The acquired magnetic resonance signals are reconstructed to generate spatial pixels or voxels wherein positive pixel or voxel values indicate spatial locations of positive magnetism and negative pixel or voxel values indicates spatial locations of negative magnetism. A first image () representative of the first tissue is generated from spatial pixels or voxels having negative signal intensities, and a second image () representative of the second tissue is generated from spatial pixels or voxels having positive signal intensities.

3978364, Aug 31, 1976

Jul 24, 1974

5/491418

John Dimeff - San Jose CA
William J. Kerwin - Tucson AZ

The United States of America as represented by the Administrator of the
National Aeronautics and Space Administration - Washington DC

H01J 146
H01J 2110

313306

High efficiency, multi-dimensional thin film vacuum tubes suitable for use in high temperature, high radiation environments are described. The tubes are fabricated by placing, as by photolithographic techniques, such as are used in solid state integrated circuits, thin film electrode members in selected arrays on facing interior wall surfaces of an alumina substrate envelope. Cathode members are formed using thin films of triple carbonate. The photoresist used in photolithography aids in activation of the cathodes by carbonizing and reacting with the reduced carbonates when heated in vacuum during forming. The finely powdered triple carbonate is mixed with the photoresist used to delineate the cathode locations in the conventional solid state photolithographic manner. Upon high temperature forming (1000. degree. C) the barium, etc.

2021031, Oct 7, 2021

Jul 19, 2018

16/631632

- Seattle WA, US
John A. STAMATOYANNOPOULOS - Seattle WA, US
Alessandra SULLIVAN - Seattle WA, US
William KERWIN - Seattle WA, US
Tobias RAGOCZY - Seattle WA, US
Pavel ZRAZHEVSKIY - Seattle WA, US

C12Q 1/6841
C12Q 1/6876

Disclosed herein are methods of detecting a target viral nucleic acid sequence, determining the localization of the target viral nucleic acid sequence, and/or quantifying the number of target viral nucleic acid sequences in a cell. This method may be used on small target nucleic acid sequences, and may be referred to as Nano-FISH or viral Nano-FISH.