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. 29, 2024

Filed:

Feb. 01, 2022
Applicant:

Duke University, Durham, NC (US);

Inventors:

Qingrong Wu, Durham, NC (US);

Yaorong Ge, Durham, NC (US);

Fang-Fang Yin, Durham, NC (US);

Qiuwen Wu, Durham, NC (US);

Chunhao Wang, Durham, NC (US);

Yang Sheng, Durham, NC (US);

Xinyi Li, Durham, NC (US);

Wentao Wang, Durham, NC (US);

Assignees:

DUKE UNIVERSITY, Durham, NC (US);

THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE, Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61N 5/10 (2006.01);
U.S. Cl.
CPC ...
A61N 5/1039 (2013.01);
Abstract

A radiation treatment planning system can include a machine learning system that receives patient data, including an image scan (e.g., CT scan) and contour(s), a physician prescription, including planning target and dose, and device (radiation beam) data and outputs predicted fluence maps. The machine learning system includes at least two stages, where a stage of the at least two stages includes converting image scans from the patient data to projection images. A treatment planning system can receive the predicted fluence maps and generates treatment plans without performing inverse optimization.


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