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.

Patent No.:

US 10823798 B1

PDF
Full Text
Expired
Date of Patent:
Nov. 03, 2020

Filed:

Oct. 21, 2016
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventor:
Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/48 (2006.01); G01R 33/56 (2006.01); G01R 33/563 (2006.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01);
U.S. Cl.
CPC ...
G01R 33/4812 (2013.01); G01R 33/563 (2013.01); G01R 33/5608 (2013.01); G06T 7/0012 (2013.01); G06T 11/003 (2013.01); A61B 6/032 (2013.01); A61B 6/481 (2013.01); A61B 6/5217 (2013.01); A61B 6/5223 (2013.01); A61B 6/5247 (2013.01); A61B 6/5294 (2013.01);
Abstract

A medical imaging system comprising: a memory and a processor configured by machine executable instructions that cause the processor to: receive multiple magnetic resonance images, the multiple magnetic resonance images comprising voxels; calculate an image segmentation for each of the multiple magnetic resonance images, the image segmentation dividing each of the multiple magnetic resonance images into regions; assign a tissue classification to each of the regions using a magnetic resonance imaging tissue classifier; calculate a Hounsfield unit map for each of the multiple magnetic resonance images by assigning a Hounsfield unit value to each of the voxels according to the tissue classification, the Hounsfield mapping comprising a mapping between the tissue classification to Hounsfield units; and calculate a virtual CT image for each of the multiple magnetic resonance images using the Hounsfield unit mapping.


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