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:
Jul. 02, 2024

Filed:

Nov. 29, 2019
Applicant:

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

Inventors:

Liyue Shen, Stanford, CA (US);

Wei Zhao, Stanford, CA (US);

Lei Xing, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2024.01); A61B 6/03 (2006.01); A61B 6/46 (2024.01); G06N 3/045 (2023.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
A61B 6/5211 (2013.01); A61B 6/032 (2013.01); A61B 6/463 (2013.01); G06N 3/045 (2023.01); G06T 11/006 (2013.01); G06T 2211/436 (2013.01);
Abstract

A method for tomographic imaging comprising acquiring [] a set of one or more 2D projection images [] and reconstructing [] a 3D volumetric image [] from the set of one or more 2D projection images [] using a residual deep learning network comprising an encoder network, a transform module and a decoder network, wherein the reconstructing comprises: transforming [] by the encoder network the set of one or more 2D projection images [] to 2D features []; mapping [] by the transform module the 2D features [] to 3D features []; and generating [] by the decoder network the 3D volumetric image [] from the 3D features []. Preferably, the encoder network comprises 2D convolution residual blocks and the decoder network comprises 3D blocks without residual shortcuts within each of the 3D blocks.


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