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. 05, 2021

Filed:

Jun. 12, 2017
Applicant:

Board of Trustees of Michigan State University, East Lansing, MI (US);

Inventors:

Erik Shapiro, Okemos, MI (US);

Muhammad Jamal Afridi, Woodbury, MN (US);

Arun Ross, East Lansing, MI (US);

Xiaoming Liu, Okemos, MI (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61K 49/18 (2006.01); G06K 9/62 (2006.01); G01R 33/56 (2006.01); G06K 9/00 (2006.01); G01R 33/54 (2006.01);
U.S. Cl.
CPC ...
G01R 33/5601 (2013.01); A61B 5/055 (2013.01); A61B 5/7267 (2013.01); A61B 5/742 (2013.01); A61B 5/7475 (2013.01); A61K 49/1896 (2013.01); G01R 33/5608 (2013.01); G06K 9/0014 (2013.01); G06K 9/00147 (2013.01); G06K 9/6273 (2013.01); A61B 2576/00 (2013.01); G01R 33/546 (2013.01);
Abstract

A system and method are provided for tracking magnetically-labeled substances, such as transplanted cells, in subjects using magnetic resonance imaging (MRI). The method includes obtaining a quantity of a substance that comprises an MRI contrast compound or is otherwise magnetically-labeled for purposes of an MRI scan, administering the substance into a region of interest of a subject, performing an imaging scan of a portion of the subject comprising the region of interest, obtaining an imaging data set from the scan, reducing the dataset into pixel groupings based on intensity profiles, where the pixel groupings have a pixel size larger than the expected pixel size of a unit of the MRI contrast compound or magnetically-labeled substance, extracting candidate pixel matrices from the imaging data, training a machine learning (ML) module by using the candidate pixel matrices, quantifying the presence, number and/or location of units of the substance within the subject by using the ML module, and displaying a visual representation of an identification of the substances within the subject as a result of using the ML module.


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