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. 15, 2026

Filed:

Oct. 26, 2022
Applicant:

Soochow University, Suzhou, CN;

Inventors:

Shumei Yu, Suzhou, CN;

Yao Yao, Suzhou, CN;

Rongchuan Sun, Suzhou, CN;

Lining Sun, Suzhou, CN;

Assignee:

SOOCHOW UNIVERSITY, Suzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06T 5/70 (2024.01); G06T 7/00 (2017.01); G06T 7/12 (2017.01); G06T 7/136 (2017.01); G06T 7/33 (2017.01); G06T 7/35 (2017.01); G06T 15/08 (2011.01); G06T 17/00 (2006.01); G16H 20/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/251 (2017.01); G06T 5/70 (2024.01); G06T 7/0014 (2013.01); G06T 7/12 (2017.01); G06T 7/136 (2017.01); G06T 7/337 (2017.01); G06T 7/35 (2017.01); G06T 15/08 (2013.01); G06T 17/00 (2013.01); G16H 20/40 (2018.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/30096 (2013.01); G06T 2210/12 (2013.01); G06T 2210/41 (2013.01); G06T 2210/56 (2013.01);
Abstract

The present application provides a respiration feature extraction method based on body surface significance analysis, including: establishing a body surface voxel model of chest and abdomen respiration motion, which includes acquisition of point cloud information, generation of the voxel model and extraction of respiration motion features; establishing a significance evaluation function by performing significance analysis on different regions of a body surface, and selecting the body surface region with high correlation with tumor motion based on the evaluation function; and performing voxelization on the body surface region, and obtaining effective one-dimensional characterization information of the body surface region using a local linear embedding dimension reduction algorithm. Compared with the prior art, the method avoids an influence of body-surface redundant motion information on precision of the association model, and compared with a PCC method, the method can avoid harm to the human body caused by continuous irradiation of X rays.


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