RESPIRATION FEATURE EXTRACTION METHOD BASED ON BODY SURFACE SIGNIFICANCE ANALYSIS
Number of patents in Portfolio can not be more than 2000
United States of America
Stats
-
N/A
Issued Date -
Jan 30, 2025
app pub date -
Oct 26, 2022
filing date -
Oct 26, 2022
priority date (Note) -
Published
status (Latency Note)
Importance
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.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully