The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 06, 2018

Filed:

Jan. 16, 2015
Applicant:

Arterys Inc., San Francisco, CA (US);

Inventors:

Fabien Beckers, San Francisco, CA (US);

Albert Hsiao, Menlo Park, CA (US);

John Axerio-Cilies, San Francisco, CA (US);

Torin Arni Taerum, Calgary, CA;

Daniel Marc Raymond Beauchamp, Toronto, CA;

Assignee:

ARTERYS INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61B 5/02 (2006.01); A61B 5/026 (2006.01); G06F 19/00 (2018.01); G01R 33/563 (2006.01); G01R 33/565 (2006.01); A61B 5/021 (2006.01); G06T 7/12 (2017.01); G06T 7/168 (2017.01); G06T 7/174 (2017.01); A61B 5/08 (2006.01); G01R 33/56 (2006.01);
U.S. Cl.
CPC ...
A61B 5/055 (2013.01); A61B 5/0044 (2013.01); A61B 5/021 (2013.01); A61B 5/02007 (2013.01); A61B 5/02014 (2013.01); A61B 5/0263 (2013.01); A61B 5/7257 (2013.01); G01R 33/56308 (2013.01); G01R 33/56545 (2013.01); G06F 19/321 (2013.01); G06T 7/12 (2017.01); G06T 7/168 (2017.01); G06T 7/174 (2017.01); A61B 5/08 (2013.01); A61B 2576/023 (2013.01); G01R 33/5608 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20056 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30104 (2013.01);
Abstract

An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: perform error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. An asynchronous command and imaging pipeline allows remote image processing and analysis in a timely and secure manner even with complicated or large 4-D flow MRI data sets.


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