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:
Sep. 01, 2026

Filed:

Mar. 16, 2022
Applicant:

University of Manitoba, Winnipeg, CA;

Inventors:

Joe Lovetri, Winnipeg, CA;

Vahab Khoshdel, Winnipeg, CA;

Mohammad Asefi, Winnipeg, CA;

Ahmed Bilal Ashraf, Winnipeg, CA;

Assignee:

University of Manitoba, Winnipeg, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/25 (2022.01);
Abstract

A system features a neural network trained on labeled data and configured to receive electromagnetic field measurement data from an object of interest as input to the neural network, and to reconstruct a three-dimensional (3D) distribution image of a physical property of the object of interest from the received electromagnetic field measurement data. The reconstruction is implemented without performing a forward solve during the reconstruction. The neural network has two branches, a first of which comprises a two-stage convolutional decoder, whose first stage transforms inputted scattered field data to a 3D distribution image of the physical property, and whose second stage has successive deconvolutional and upsampling layers. A second branch, arranged in parallel with the first, receives prior information, and respective outputs of the two branches are combined to achieve a reconstructed 3D volume of the physical property.


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