Label-free adaptive CT super-resolution reconstruction method, system and device based on generative network
US12106404B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 1, 2023 |
| Grant date | Oct 1, 2024 |
| Priority date | — |
| Expiry date | Aug 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/441
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present application discloses a label-free adaptive CT super-resolution reconstruction method, device and system based on a generative network, which comprises the following modules: an acquisition module configured for acquiring low-resolution original CT image data; a preprocessing module configured for performing super-resolution reconstruction on original CT images based on total variation to obtain an initial value; and a super-resolution reconstruction module configured for performing high-resolution reconstruction on the initial value. According to the present application, a parameter fine-tuning method is adopted, and a CT reconstruction network which is not suitable for a certain patient is adjusted into a network which is suitable for the patient's situation on the premise of not using a large number of data sets for training; only the low-resolution CT data of the patient is used in this process, and the corresponding high-resolution CT data is not needed as a label.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.