Name
Title | ||
|---|---|---|
Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints. |
Abstract | ||
|---|---|---|
Objective: The purpose of this paper is to accelerate cardiac diffusion tensor imaging (CDTI) by integrating low-rankness and compressed sensing. Methods: Diffusion-weighted images exhibit both transform sparsity and low-rankness. These properties can jointly be exploited to accelerate CDTI, especially when a phase map is applied to correct for the phase inconsistency across diffusion directions, ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2017.2787111 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Acceleration,Biomedical imaging,Image reconstruction,Compressed sensing,Heart,Diffusion tensor imaging | Iterative reconstruction,Computer vision,Helix angle,Diffusion MRI,Medical imaging,Computer science,Algorithm,Artificial intelligence,Footprint,Acceleration,Image resolution,Compressed sensing | Journal |
Volume | Issue | ISSN |
65 | 10 | 0018-9294 |
Citations | PageRank | References |
1 | 0.37 | 10 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sen Ma | 1 | 1 | 0.37 |
| Christopher T. Nguyen | 2 | 1 | 0.37 |
| Anthony G. Christodoulou | 3 | 44 | 6.33 |
| Daniel Luthringer | 4 | 1 | 0.37 |
| Jon Kobashigawa | 5 | 1 | 0.37 |
| Sang Eun Lee | 6 | 4 | 2.20 |
| Hyuk-Jae Chang | 7 | 9 | 4.39 |
| Debiao Li | 8 | 22 | 6.77 |