Method and magnetic resonance apparatus for image reconstruction with trimmed autocalibrating k-space estimation based on structured matrix completion
US10823805B2 · kind B2 · utility
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Key dates
| Filing date | Sep 21, 2017 |
| Grant date | Nov 3, 2020 |
| Priority date | — |
| Expiry date | Oct 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
In a method and magnetic resonance (MR) apparatus for MR image reconstruction, an image reconstruction algorithm is used that operates on one calibration matrix that is formed by reorganizing a number of individual, undersampled k-space data sets respectively acquired by multiple reception coils in a parallel MR data acquisition from a subject exhibiting motion. The motion causes the k-space data sets to exhibit errors. In order to use the calibration matrix in the reconstruction algorithm, it is subjected to an iterative rank reduction procedure in which, in each iteration, a residual is calculated for each data point that represents how poorly, due to motion-induced corruptions, that data point satisfies the low rank constraint, and non-satisfying data points are removed from the data point for the next iteration. The resulting low rank matrix at the end of the iterations is then used to produce images with fewer motion-induced errors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.