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:
Oct. 25, 2022

Filed:

Oct. 10, 2019
Applicant:

New York University, New York, NY (US);

Inventors:

Fernando Boada, Purchase, NY (US);

David Rigie, San Francisco, CA (US);

Assignee:

NEW YORK UNIVERSITY, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G06T 11/003 (2013.01); G06T 2211/408 (2013.01);
Abstract

An exemplary system, method and computer-accessible medium for generating an image(s) of a portion(s) of a patient(s) can be provided, which can include, for example, receiving first information associated with a combination of positron emission tomography (PET) information and magnetic resonance imaging (MRI) information, generating second information by applying a convolutional neural network(s) (CNN) to the first information, and generating the image(s) based on the second information. The PET information can be fluorodeoxyglucose PET information. The CNN(s) can include a plurality of convolution layers and a plurality of parametric activation functions. The parametric activation functions can include, e.g., a plurality of parametric rectified linear units. Each of the convolution layers can include, e.g., a plurality of filter kernels. The PET information can be reconstructed using a maximum likelihood estimation (MLE) procedure to generate a MLE image.


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