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:
May. 10, 2022

Filed:

May. 08, 2017
Applicant:

Mayo Foundation for Medical Education and Research, Rochester, MN (US);

Inventors:

Zhoubo Li, Libertyville, IL (US);

Cynthia H. McCollough, Byron, MN (US);

Shuai Leng, Rochester, MN (US);

Lifeng Yu, Byron, MN (US);

Armando Manduca, Rochester, MN (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06T 5/20 (2006.01); G06T 5/50 (2006.01); G06T 11/00 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G06K 9/62 (2006.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); A61B 6/032 (2013.01); A61B 6/482 (2013.01); A61B 6/5258 (2013.01); G06K 9/6215 (2013.01); G06T 5/20 (2013.01); G06T 5/50 (2013.01); G06T 11/008 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20024 (2013.01); G06V 10/759 (2022.01);
Abstract

System and methods are provided for producing computed tomography (CT) images. In some aspects, a method includes obtaining medical image data sets acquired using the multiple energies of irradiating radiation and analyzing the medical image data sets for spatial and spectral features. The method also includes comparing the spatial and spectral features of the medical image data sets to identify similarities and using the similarities, weighting the medical image data sets to generate images of the subject having reduced noise compared to images of the subject produced from the medical image data sets without weighting.


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