Efficient methods for reconstruction and deblurring of magnetic resonance images
US7545966B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 5, 2004 |
| Grant date | Jun 9, 2009 |
| Priority date | — |
| Expiry date | Nov 28, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01R33/4824
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Methods are described for efficient reconstruction of MRI data. In one practice, new reconstruction algorithms for non-uniformly sampled k-space data are presented. In the disclosed algorithms, Iterative Next-Neighbor re-Gridding (INNG) and Block INNG (BINNG), iterative procedures are performed using larger rescaled matrices than the target grid matrix In BINNG algorithm, the sampled k-space region is partitioned into several blocks and the INNG algorithm is applied to each block. In another practice, a novel partial spiral reconstruction (PFSR) uses an estimated phase map from a low-resolution image reconstructed from the central k-space data and performs iterations, similar to the iterative procedures with INNG, with an imposed phase constraint. According to yet another practice, an off-resonance correction is performed on matrices that are smaller than the full image matrix. All these methods reduce the computational costs while rendering high-quality reconstructed images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.