Partial deformation maps for reconstructing motion-affected treatment dose using machine learning
US11922656B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 13, 2020 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Oct 8, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method comprises inputting a treatment planning image of a target subject into a machine learning system. The method further comprises determining, by the machine learning system, a first target-subject-specific model of the treatment planning image. The method further comprises applying, by a processing device, the first target-subject-specific model to the treatment planning image to generate a transformed treatment planning image corresponding to a first position of a plurality of positions of the target subject. The method further comprises comparing the transformed treatment planning image to a reference image. The method further comprises, based on the comparing, modifying one or more parameters of the first target-subject-specific model to generate a second target-subject-specific model corresponding to a second position of the plurality of positions. The method further comprises controlling a treatment device based on the second target-subject-specific model to deliver a treatment to the target subject.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.