Patents Assigned to SUPERACCURACY SCIENCE & TECHNOLOGY CO., LTD.
  • Patent number: 12718365
    Abstract: A method and system for intelligent plan optimization. The method may include: obtaining a sample scan image, one or more sample contour images, and sample dose data by resampling a scan image, a contour image, and dose data at a same resolution; obtaining a weighted image by the one or more sample contour images; obtaining a sample weighted image by performing a dimensionality reduction on the weighted image; obtaining a trained regression model by performing a regression training on an initial regression model based on the sample scan image, the contour image of the sample target region, the sample weighted image, and the sample dose data corresponding to the sample scan image; and obtaining a dose prediction result by inputting a to-be-tested scan image, a to-be-tested contour image of the target region, and a to-be-tested weighted image after the dimensionality reduction into the trained regression model.
    Type: Grant
    Filed: April 12, 2024
    Date of Patent: August 25, 2026
    Assignee: SUPERACCURACY SCIENCE & TECHNOLOGY CO., LTD.
    Inventors: Liqin Hu, Dong Wang, Yang Yuan, Jing Jia
  • Publication number: 20250029238
    Abstract: A method and system for intelligent plan optimization. The method may include: obtaining a sample scan image, one or more sample contour images, and sample dose data by resampling a scan image, a contour image, and dose data at a same resolution; obtaining a weighted image by the one or more sample contour images; obtaining a sample weighted image by performing a dimensionality reduction on the weighted image; obtaining a trained regression model by performing a regression training on an initial regression model based on the sample scan image, the contour image of the sample target region, the sample weighted image, and the sample dose data corresponding to the sample scan image; and obtaining a dose prediction result by inputting a to-be-tested scan image, a to-be-tested contour image of the target region, and a to-be-tested weighted image after the dimensionality reduction into the trained regression model.
    Type: Application
    Filed: April 12, 2024
    Publication date: January 23, 2025
    Applicant: SUPERACCURACY SCIENCE & TECHNOLOGY CO., LTD.
    Inventors: Liqin HU, Dong WANG, Yang YUAN, Jing JIA