Name
Title | ||
|---|---|---|
Compressed sensing photoacoustic imaging based on fast alternating direction algorithm. |
Abstract | ||
|---|---|---|
Photoacoustic imaging (PAI) has been employed to reconstruct endogenous optical contrast present in tissues. At the cost of longer calculations, a compressive sensing reconstruction scheme can achieve artifact-free imaging with fewer measurements. In this paper, an effective acceleration framework using the alternating direction method (ADM) was proposed for recovering images from limited-view and noisy observations. Results of the simulation demonstrated that the proposed algorithm could perform favorably in comparison to two recently introduced algorithms in computational efficiency and data fidelity. In particular, it ran considerably faster than these two methods. PAI with ADM can improve convergence speed with fewer ultrasonic transducers, enabling a high-performance and cost-effective PAI system for biomedical applications. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1155/2012/206214 | Int. J. Biomedical Imaging |
Keywords | Field | DocType |
artifact-free imaging,biomedical application,computational efficiency,direction algorithm,data fidelity,convergence speed,fewer ultrasonic transducers,proposed algorithm,fewer measurement,photoacoustic imaging,cost-effective pai system,biomedical research,bioinformatics | Convergence (routing),Computer vision,Ultrasonic sensor,Photoacoustic imaging in biomedicine,Computer science,Algorithm,Acceleration,Artificial intelligence,Compressed sensing | Journal |
Volume | ISSN | Citations |
2012 | 1687-4196 | 1 |
PageRank | References | Authors |
0.40 | 6 | 6 |