Multi-contrast image reconstruction with joint bayesian compressed sensing
US9336611B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 13, 2011 |
| Grant date | May 10, 2016 |
| Priority date | — |
| Expiry date | Feb 24, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method for reconstructing multiple images of a subject depicting multiple different contrast characteristics from medical image data acquired with a medical imaging system is provided. Multiple image data sets are acquired with one or more medical imaging systems and the image data sets used to estimate hyperparameters drawn from a prior distribution, such as a prior distribution of image gradient coefficients. These hyperparameters and the acquired image data sets are utilized to produce a posterior distribution, such as a posterior distribution of image gradients. From this posterior distribution, multiple images with the different contrast characteristics are reconstructed. The medical imaging system may be a magnetic resonance imaging system, an x-ray computed tomography imaging system, an ultrasound system, and so on.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.