Name
Abstract | ||
|---|---|---|
•We present a novel method for reconstruction of the diffusion MRI signal from sparse measurements.•A novel function to model the bi-exponential decay of the signal in the radial q-space.•Novel algorithmic derivation for spatially smooth signal reconstruction.•Extensive experiments done on phantom and in vivo data.•Our results show very low error in the recovered signal using at-least 60 samples. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.media.2014.06.003 | Medical Image Analysis |
Keywords | Field | DocType |
Diffusion MRI,Compressed sensing,Diffusion spectrum imaging,Diffusion propagator,Kurtosis | Diffusion MRI,Data set,Imaging phantom,Propagator,Artificial intelligence,Compressed sensing,Kurtosis,Monotonic function,Mathematical optimization,Pattern recognition,Signal-to-noise ratio,Algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
18 | 7 | 1361-8415 |
Citations | PageRank | References |
1 | 0.35 | 34 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yogesh Rathi | 1 | 885 | 56.05 |
| Oleg Michailovich | 2 | 277 | 24.73 |
| Frederik B. Laun | 3 | 59 | 4.90 |
| Kawin Setsompop | 4 | 238 | 20.09 |
| P E Grant | 5 | 1 | 0.69 |
| C-F Westin | 6 | 1 | 0.35 |