Activity-dependent, spatially-varying regularization parameter design for regularized image reconstruction
US11049294B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 2, 2018 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Mar 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/424
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus is provided to iteratively reconstruct an image from gamma-ray emission data by optimizing an objective function with a spatially-varying regularization term. The image is reconstructed using a regularization term that varies spatially based on an activity-level map to spatially vary the regularization term in the objective function. For example, more smoothing (or less edge-preserving) can be imposed where the activity is lower. The activity-level map can be used to calculate a spatially-varying smoothing parameter and/or spatially-varying edge-preserving parameter. The smoothing parameter can be a regularization parameter β that scales/weights the regularization term relative to a data fidelity term of the objective function, and the regularization parameter β can depend on a sensitivity parameter. The edge-preserving parameter β can control the shape of a potential function that is applied as a penalty in the regularization term of the objective function.
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