Abstract | ||
---|---|---|
This paper introduces a framework for the reconstruction of magnetic resonance images in the presence of rigid motion. The rationale behind our proposal is to make use of the partial k-space information provided by multiple receiver coils in order to estimate the position of the imaged object throughout the shots that contribute to the image. The estimated motion is incorporated into the reconstru... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TCI.2016.2557069 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Image reconstruction,Imaging,Coils,Motion estimation,Trajectory,Proposals,Discrete Fourier transforms | Iterative reconstruction,Computer vision,Mathematical optimization,Motion field,Artificial intelligence,Neuroimaging,Motion estimation,Resampling,Trajectory,Mathematics,Encoding (memory),Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
2 | 3 | 2573-0436 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lucilio Cordero-Grande | 1 | 140 | 16.15 |
Rui Pedro A. G. Teixeira | 2 | 14 | 1.32 |
Emer J. Hughes | 3 | 121 | 6.85 |
Jana Hutter | 4 | 72 | 5.99 |
Anthony N Price | 5 | 253 | 15.32 |
Jo Hajnal | 6 | 1796 | 119.03 |