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:
Oct. 31, 2023

Filed:

May. 09, 2022
Applicant:

Heartflow, Inc., Redwood City, CA (US);

Inventors:

Timothy A. Fonte, San Francisco, CA (US);

Leo J. Grady, Darien, CT (US);

Zhongle Wu, Ann Arbor, MI (US);

Michiel Schaap, Oegstgeest, NL;

Stanley C. Hunley, San Jose, CA (US);

Souma Sengupta, Cupertino, CA (US);

Sophie Khem, San Francisco, CA (US);

Assignee:

HeartFlow, Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 6/00 (2006.01); A61B 5/026 (2006.01); A61B 6/03 (2006.01); A61B 8/08 (2006.01); G01R 33/563 (2006.01); G16H 50/50 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/026 (2013.01); A61B 5/0261 (2013.01); A61B 6/032 (2013.01); A61B 6/481 (2013.01); A61B 6/504 (2013.01); A61B 6/5217 (2013.01); A61B 8/0883 (2013.01); A61B 5/0263 (2013.01); A61B 6/037 (2013.01); A61B 6/507 (2013.01); A61B 6/5258 (2013.01); A61B 6/5294 (2013.01); A61B 8/5223 (2013.01); A61B 2576/02 (2013.01); G01R 33/5635 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30104 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30172 (2013.01); G06T 2207/30196 (2013.01); G06T 2210/41 (2013.01); G16H 50/50 (2018.01);
Abstract

Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.


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