System for reconstructing magnetic particle image based on adaptive optimization of regularization terms
US12117508B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 16, 2024 |
| Grant date | Oct 15, 2024 |
| Priority date | — |
| Expiry date | Jun 16, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/441
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A system for reconstructing a magnetic particle image based on adaptive optimization of regularization terms includes: a MPI device for scanning an imaging object to acquire a voltage response signal; a signal processor for constructing a system matrix; and a control processor for reconstructing the magnetic particle image based on an arbitrarily selected regularization term, inputting the reconstructed magnetic particle image to a regularization-term adaptive optimization neural network model for enhancement processing, taking the enhanced magnetic particle image as a first image, and calculating a loss value between the first image and an initial image to acquire a final reconstructed magnetic particle image. The system adopts a neural network model-based automatic learning approach, instead of the approach of manually selecting regularization terms and adjusting parameters, to improve the reconstruction efficiency and quality of the magnetic particle image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.