An efficient image formation algorithm for real-time linear-array photoacoustic tomography
In photoacoustic (PA) imaging using commercial ultrasound transducers, two dimensional PA images are pro-duced by commonly used delay-and-sum (DAS) as the reconstruction method. However, the reconstructed image is a ected by noise and artifacts. Here, we investigate the performance of a nonlinear (N...
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| Main Authors: | , , , , |
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| 其他作者: | |
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2019
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/102649 http://hdl.handle.net/10220/49619 |
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| 總結: | In photoacoustic (PA) imaging using commercial ultrasound transducers, two dimensional PA images are pro-duced by commonly used delay-and-sum (DAS) as the reconstruction method. However, the reconstructed image is a ected by noise and artifacts. Here, we investigate the performance of a nonlinear (NL) beamforming method for linear-array PA image formation. The proposed algorithm uses the pth root of the recorded signals and imposes a computational complexity in the order of DAS (O(M)). We have evaluated the performance of the
proposed method numerically, having a signal-to-noise ratio of 30 dB and -10 dB. It is shown that at the depth of 15 mm, the NL 3 (NL beamformer with a p=3) outperforms DAS, DMAS and NL 2 for about 26 dB, 11 dB and 11 dB, in terms of level of sidelobe, respectively. In addition, DAS, DMAS, NL 2 and NL 3 lead to a
full-width-half-maximum of about 1.4 mm, 1.04 mm, 1.04 mm and 0.86 mm, respectively. The proposed method can be a great choice for sentinel lymph node imaging. |
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