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:
Aug. 04, 2020

Filed:

Apr. 12, 2017
Applicant:

Hitachi, Ltd., Tokyo, JP;

Inventors:

Yoshimi Noguchi, Tokyo, JP;

Masahiro Ogino, Tokyo, JP;

Takenori Murase, Tokyo, JP;

Tetsuhiko Takahashi, Tokyo, JP;

Assignee:

HITACHI, LTD., Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); G06T 5/00 (2006.01); G01R 33/56 (2006.01); A61B 5/055 (2006.01); A61B 8/08 (2006.01); A61B 6/03 (2006.01); G01R 33/565 (2006.01); G01R 33/54 (2006.01);
U.S. Cl.
CPC ...
G01R 33/5608 (2013.01); A61B 5/055 (2013.01); A61B 6/032 (2013.01); A61B 6/5205 (2013.01); A61B 6/5258 (2013.01); A61B 8/5207 (2013.01); A61B 8/5269 (2013.01); G01R 33/56 (2013.01); G01R 33/56509 (2013.01); G06T 5/002 (2013.01); G06T 5/003 (2013.01); G01R 33/546 (2013.01);
Abstract

In a diagnostic imaging device, such as an MRI device, correction processing improves an image to be a high-quality image and an imaging time is shortened. In the diagnostic imaging device, a noise reduction unitreduces a noise in observation data acquired with an observation unitand converted into an image, and the image correction unitcorrects the noise reduced data by correction processing that uses visual characteristics of human. The image correction unitseparates the noise reduced data into a broad luminance component and a local variation component, and generates a correction level map using the broad luminance component. Correcting the noise reduced data using this correction level map and the local variation component acquires a high-quality image that is competent in the clinical field.


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