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.:
Date of Patent:
Apr. 30, 2024
Filed:
Jan. 15, 2020
Applicant:
Siemens Healthcare Gmbh, Erlangen, DE;
Inventors:
Bin Lou, Princeton, NJ (US);
Benjamin L. Odry, West New York, NJ (US);
Assignee:
Siemens Healthineers AG, Forchheim, DE;
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/055 (2006.01); G01R 33/46 (2006.01); G01R 33/50 (2006.01); G01R 33/563 (2006.01); G06T 7/00 (2017.01); G01R 33/34 (2006.01);
U.S. Cl.
CPC ...
A61B 5/055 (2013.01); G01R 33/46 (2013.01); G01R 33/50 (2013.01); G01R 33/56341 (2013.01); G06T 7/0012 (2013.01); G01R 33/34084 (2013.01);
Abstract
Brain tumor or other tissue classification and/or segmentation is provided based on from multi-parametric MRI. MRI spectroscopy, such as in combination with structural and/or diffusion MRI measurements, are used to classify. A machine-learned model or classifier distinguishes between the types of tissue in response to input of the multi-parametric MRI. To deal with limited training data for tumors, a patch-based system may be used. To better assist physicians in interpreting results, a confidence map may be generated using the machine-learned classifier.