Abstract | ||
---|---|---|
Simultaneous Multi-Slice (SMS) magnetic resonance imaging (MRI) is a rapidly evolving technique for increasing imaging speed. Controlled aliasing techniques utilize periodic undersampling patterns to help mitigate the loss in signal-to-noise ratio (SNR) in SMS MRI. To evaluate the performance of different undersampling patterns, a quantitative description of the image SNR loss is needed. Additiona... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TMI.2016.2531635 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image reconstruction,Coils,Covariance matrices,Imaging,Encoding,Sensitivity,Signal to noise ratio | Iterative reconstruction,Computer vision,Computer science,Imaging phantom,Signal-to-noise ratio,Undersampling,Aliasing,Artificial intelligence,Nyquist–Shannon sampling theorem,Encoding (memory),Ghosting | Journal |
Volume | Issue | ISSN |
35 | 8 | 0278-0062 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kangrong Zhu | 1 | 0 | 0.34 |
Robert F Dougherty | 2 | 110 | 7.20 |
Hua Wu | 3 | 0 | 0.34 |
Matthew J. Middione | 4 | 0 | 0.34 |
Atsushi M. Takahashi | 5 | 0 | 0.34 |
Tao Zhang | 6 | 0 | 0.68 |
John M. Pauly | 7 | 600 | 52.05 |
Adam B. Kerr | 8 | 9 | 4.06 |