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:
Jul. 19, 2022

Filed:

Jul. 11, 2016
Applicant:

Sony Group Corporation, Tokyo, JP;

Inventors:

Chen-Rui Chou, San Jose, CA (US);

Bi Song, San Jose, CA (US);

Ming-Chang Liu, San Jose, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/055 (2006.01); G06T 7/00 (2017.01); G06K 9/62 (2022.01); G01R 33/56 (2006.01); G06T 7/11 (2017.01); G06T 7/162 (2017.01); G01R 33/50 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4064 (2013.01); A61B 5/0035 (2013.01); A61B 5/0042 (2013.01); A61B 5/055 (2013.01); A61B 5/7267 (2013.01); G01R 33/5608 (2013.01); G06K 9/6262 (2013.01); G06K 9/6282 (2013.01); G06T 7/0014 (2013.01); G06T 7/11 (2017.01); G06T 7/162 (2017.01); A61B 2576/026 (2013.01); G01R 33/50 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20112 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

System for performing fully automatic brain tumor and tumor-aware cortex reconstructions upon receiving multi-modal MRI data (T1, T1c, T2, T2-Flair). The system outputs imaging which delineates distinctions between tumors (including tumor edema, and tumor active core), from white matter and gray matter surfaces. In cases where existing MRI model data is insufficient then the model is trained on-the-fly for tumor segmentation and classification. A tumor-aware cortex segmentation that is adaptive to the presence of the tumor is performed using labels, from which the system reconstructs and visualizes both tumor and cortical surfaces for diagnostic and surgical guidance. The technology has been validated using a publicly-available challenge dataset.


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