Method of reconstructing magnetic resonance image data
US11016156B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jan 23, 2020 |
| Grant date | May 25, 2021 |
| Priority date | — |
| Expiry date | Jan 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/10088
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A plurality of sets of k-space data each of the same image region of a subject but having different contrasts are obtained. A sparse image coding procedure is performed to reconstruct a plurality of MR images each corresponding to one of the sets of k-space data. This involves solving an optimization problem comprising a data consistency iteration step used to generate the reconstructed MR images; and a denoising iteration step applied to the reconstructed MR images generated during the data consistency iteration step. The denoising iteration step includes performing a 2D/3D block matching operation to identify similar patches across the reconstructed MR images, and using the similar patches across the reconstructed MR images in a sparsifying operation to provide sparse representations of the reconstructed MR images. The sparse representations are used as an input to the data consistency iteration step.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.