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:
Dec. 31, 2024

Filed:

Oct. 26, 2021
Applicants:

Taipei Medical University (Tmu), Taipei, TW;

Taipei Veterans General Hospital, Taipei, TW;

Inventors:

Syu-Jyun Peng, Hsinchu County, TW;

Hsiang-Yu Yu, Taipei, TW;

Yen-Cheng Shih, Taipei, TW;

Tse-Hao Lee, Taipei, TW;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 6/00 (2024.01); A61B 6/03 (2006.01); A61B 6/50 (2024.01); G06T 5/50 (2006.01); G06T 5/70 (2024.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/30 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); A61B 6/037 (2013.01); A61B 6/501 (2013.01); A61B 6/5247 (2013.01); G06T 5/50 (2013.01); G06T 5/70 (2024.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/30 (2017.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01);
Abstract

The present disclosure provides an operation method of a PET (positron emission tomography) quantitative localization system, which includes steps as follows. The PET image and the MRI (magnetic resonance imaging) of the patient are acquired; the nonlinear deformation is performed on the MRI and the T1 template to generate deformation information parameters; the AAL (automated anatomical labeling) atlas is deformed to an individual brain space of the patient, so as to generate an individual brain space AAL atlas, where the AAL atlas and the T1 template are in a same space; lateralization indexes of the ROIs of the individual brain space AAL atlas corresponding to the PET image normalized through the gray-scale intensity are calculated; the lateralization indexes are inputted into one or more machine learning models to analyze the result of determining a target.


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