Name
Title | ||
|---|---|---|
Eigenspace-Based Minimum Variance Adaptive Beamformer Combined With Delay Multiply And Sum: Experimental Study |
Abstract | ||
|---|---|---|
Delay and sum (DAS) is the most common beamforming algorithm in linear-array photoacoustic imaging (PAI) as a result of its simple implementation. However, it leads to a low resolution and high sidelobes. Delay multiply and sum (DMAS) was used to address the incapabilities of DAS, providing a higher image quality. However, the resolution improvement is not well enough compared to eigenspace-based minimum variance (EIBMV). In this paper, the EIBMV beamformer has been combined with DMAS algebra, called EIBMV-DMAS, using the expansion of DMAS algorithm. The proposed method is used as the reconstruction algorithm in linear-array PAI. EIBMV-DMAS is experimentally evaluated where the quantitative and qualitative results show that it outperforms DAS, DMAS and EIBMV. The proposed method degrades the sidelobes for about 365 %, 221 % and 40 %, compared to DAS, DMAS and EIBMV, respectively. Moreover, EIBMV-DMAS improves the SNR about 158 %, 63 % and 20 %, respectively. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1117/12.2291533 | PHOTONICS IN DERMATOLOGY AND PLASTIC SURGERY 2018 |
Keywords | Field | DocType |
Photoacoustic imaging, beamforming, delay multiply and sum, eigenspace-based minimum variance, linear-array imaging | Minimum-variance unbiased estimator,Mathematical optimization,Photoacoustic imaging in biomedicine,Adaptive beamformer,Image quality,Beamforming algorithm,Algorithm,Reconstruction algorithm,Eigenvalues and eigenvectors,Mathematics | Journal |
Volume | ISSN | Citations |
10467 | 0277-786X | 2 |
PageRank | References | Authors |
0.40 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moein Mozaffarzadeh | 1 | 13 | 2.62 |
| Ali Mahloojifar | 2 | 21 | 5.75 |
| Mohammadreza Nasiriavanaki | 3 | 27 | 5.27 |
| Mahdi Orooji | 4 | 68 | 7.45 |