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:
Feb. 05, 2019

Filed:

Sep. 30, 2016
Applicant:

Toshiba Medical Systems Corporation, Otawara-shi, JP;

Inventors:

Qiulin Tang, Buffalo Grove, IL (US);

Jian Zhou, Buffalo Grove, IL (US);

Zhou Yu, Wilmette, IL (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); H04N 19/426 (2014.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/032 (2013.01); A61B 6/035 (2013.01); A61B 6/5205 (2013.01); A61B 6/5258 (2013.01); G06T 11/005 (2013.01); G06T 11/008 (2013.01); H04N 19/426 (2014.11); G06T 2207/10081 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/30004 (2013.01); G06T 2211/424 (2013.01);
Abstract

A method and apparatus is provided to determine a reconstructed image from computed tomography projection data using iterative reconstruction with an objective function that includes modified weights. The modified weights can include, among other weight values, redundancy weights and statistical weights, which are modified to compress low-frequency components. Additionally, high-frequency components of the statistical weights can be compressed, amplified, or maintained at their current magnitude. The high-frequency components can be subject to a threshold-and-invert step, substituting an inverted value for each high-frequency component above a predefined threshold. Using the modified weights, the reconstructed image can be determined using penalized weighted least squares to minimize the objective function.


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