Fast, efficient, and list-mode compatible tomographic image reconstruction using a novel quadratic surrogate
US9916670B1 · kind B1 · utility
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20Claims
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Key dates
| Filing date | Sep 13, 2016 |
| Grant date | Mar 13, 2018 |
| Priority date | — |
| Expiry date | Sep 13, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/424
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method and apparatus is provided to iteratively reconstruct a PET image for emission data using separable quadratic surrogates (SQS). The quadratic surrogates include a Poisson likelihood surrogate that has a curvature that depends on a back-projection of an inverse of mean-background signal. The method can be used with Nesterov acceleration and ordered subsets to achieve quadratic convergence to an image minimizing a Poisson Likelihood objective function that includes a regularizer that penalizes roughness in the reconstructed image.
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