Name
Abstract | ||
|---|---|---|
Compressed sensing has the potential to enable high-quality photoacoustic tomographic imaging using sparsely positioned ultrasonic transducers. As a result, the speed for image acquisition may be increased significantly due to less data flow and the cost be reduced because of the use of fewer transducers. We demonstrate that compressed sensing can be used for both time- and frequency-domain photoacoustic tomographic reconstructions. In addition, using in vivo image data, we show that compressed sensing photoacoustic reconstruction in frequency domain posses several advantages over that in time domain, including a relatively high contrast-to-noise ratio and fast reconstruction speed. © 2012 IEEE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/BHI.2012.6211683 | BHI |
Keywords | Field | DocType |
image reconstruction,time domain,tomographic reconstruction,frequency domain,frequency domain analysis,time frequency analysis,compressed sensing,in vivo imaging,photoacoustic effect,biomedical imaging,contrast to noise ratio,lead,ultrasonic transducers,data acquisition,data flow,image resolution | Time domain,Frequency domain,Iterative reconstruction,Ultrasonic sensor,Tomographic reconstruction,Photoacoustic effect,Acoustics,Image resolution,Materials science,Compressed sensing | Conference |
Volume | Issue | Citations |
null | null | 2 |
PageRank | References | Authors |
0.43 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Meng | 1 | 14 | 2.06 |
| Dong Liang | 2 | 131 | 14.36 |
| Liang Song | 3 | 2 | 2.46 |