Name
Abstract | ||
|---|---|---|
In dynamic cardiac cine magnetic resonance imaging, the spatiotemporal resolution is limited by the low imaging speed. Compressed sensing (CS) theory has been applied to improve the imaging speed and thus the spatiotemporal resolution. In this paper, we propose a novel technique that employs a patch-based 3-D spatiotemporal dictionary for sparse representations of dynamic image sequence in the CS framework. Specifically, the dynamic image sequence is divided into overlapping patches along both the spatial and temporal directions. The dictionary is used to provide flexible sparse expressions for these patches. The underlying optimization problem is solved by variable splitting and the alternating direction method with multiplier. Experimental results based on in vivo cardiac data demonstrate that the proposed method is able to accelerate cardiac cine imaging by a factor up to 8 and outperforms the existing state-of-the-art CS methods at high accelerations. The method is expected to be useful in dynamic imaging with a higher spatiotemporal resolution. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TBME.2013.2294939 | IEEE Trans. Biomed. Engineering |
Keywords | Field | DocType |
optimisation,image representation,cardiology,image resolution,overlapping patches,spatiotemporal dictionary,cinematography,spatiotemporal phenomena,biomedical mri,alternating direction method with multiplier (admm),magnetic resonance imaging,compressed sensing,dynamic cardiac cine magnetic resonance imaging (mri),optimization,image sequences,spatiotemporal resolution,low imaging speed,dynamic image sequence,learned spatiotemporal dictionary,medical image processing,dynamic cardiac cine mri,sparse representations,image reconstruction,dictionaries | Computer vision,Expression (mathematics),Computer science,Multiplier (economics),Artificial intelligence,Dynamic imaging,Image resolution,Image sequence,Optimization problem,Compressed sensing,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
61 | 4 | 1558-2531 |
Citations | PageRank | References |
22 | 0.94 | 25 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanhua Wang | 1 | 47 | 6.35 |
| Leslie Ying | 2 | 240 | 29.08 |