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:
Nov. 19, 2024

Filed:

Mar. 22, 2019
Applicant:

Memorial Sloan Kettering Cancer Center, New York, NY (US);

Inventors:

Thomas C. Fuchs, New York, NY (US);

Ida Häggström, New York, NY (US);

Charles Ross Schmidtlein, New York, NY (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); A61B 6/03 (2006.01); G06T 7/00 (2017.01); G06T 9/00 (2006.01);
U.S. Cl.
CPC ...
G06T 11/006 (2013.01); A61B 6/032 (2013.01); A61B 6/037 (2013.01); G06T 7/0012 (2013.01); G06T 9/002 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01);
Abstract

The present disclosure is directed to systems and methods for reconstructing biomedical images. A projection preparer may identify a projection dataset derived from a tomographic biomedical imaging scan. An encoder-decoder model may reconstruct reconstructing tomographic biomedical images from projection data. The encoder-decoder model may include an encoder. The encoder may include a first series of transform layers to generate first feature maps using the projection dataset. The encoder-decoder may include a decoder. The decoder may include a second series of transform layers to generate second features maps using the first feature maps from the encoder. The system may include a reconstruction engine executable on the one or more processors. The reconstruction engine may apply the encoder-decoder model to the projection dataset to generate a reconstructed tomographic biomedical image based on the second feature maps generated by the decoder of the encoder-decoder model.


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