Method for planning tissue ablation based on deep learning
US12127794B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 25, 2020 |
| Grant date | Oct 29, 2024 |
| Priority date | — |
| Expiry date | Dec 3, 2040 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B2034/108
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The invention relates to a method and device for planning a surgical procedure aiming to ablate a tissue in an anatomical area of interest of a patient. On the basis of a preoperative image of the anatomical area of interest and of a set of planning parameters (P), a simulated image is generated by a neural network that has been previously trained using learning elements corresponding, respectively, to a similar surgical procedure for ablating a tissue in an anatomical area of interest for another patient. Each learning element comprises a preoperative image of the anatomical area of interest of a patient, planning parameters (P) used for the surgical procedure on this patient, and a postoperative image of the anatomical area of interest of this patient after the surgical procedure. An estimated ablation region may be segmented in the simulated image in order to be compared with a segmented region to be treated in the preoperative image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.