Machine learning-based generation of 3D dose distributions for volumes not included in a training corpus
US12138476B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2021 |
| Grant date | Nov 12, 2024 |
| Priority date | — |
| Expiry date | Mar 6, 2043 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61N2005/1041
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A radiation treatment plan three-dimensional dose prediction machine learning model is trained using a training corpus that includes a plurality of radiation treatment plans that are not specific to a particular patient and wherein the training corpus includes some, but not all, possible patient volumes of interest. Information regarding the patient (including information regarding at least one volume of interest for the patient that was not represented in the training corpus) is input to the radiation treatment plan three-dimensional dose prediction machine model. The latter generates predicted three-dimensional dose distributions that include a predicted three-dimensional dose distribution for the at least one volume of interest that was not represented in the training corpus.
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