Multi-wave Electromagnetic-Acoustic Sensing and Imaging by Fei Gao

Multi-wave Electromagnetic-Acoustic Sensing and Imaging by Fei Gao

Author:Fei Gao
Language: eng
Format: epub
Publisher: Springer Singapore, Singapore


The PA simulation results of k-space pseudospectral method without and with incorporating the PA oscillation model are shown in Fig. 2.38a, b, as well as the measured PA signal shown in Fig. 2.38c. It is clearly observed that by incorporating the PA oscillation model in the k-space simulation tool, the simulated PA damped oscillation waveform in Fig. 2.38b is much more close to the measured waveform in Fig. 2.38c in shape, compared with the conventional k-space simulated “N-shape” waveform in Fig. 2.38a. Quantitatively, the relaxation times T r of the PA waveforms in Fig. 2.38a–c are calculated to be 1, 4.3, and 5.1 µs. The peak numbers P n are 1, 5, and 5, showing that the PA simulation with the proposed oscillation model presents much better agreement than the conventional simulation approach. Figure 2.38d–f are plotted to show their respective spectrums, and the quality factors match well between Fig. 2.38e, f, validating the proposed PA damped oscillation model.

Fig. 2.38 a, b K-space pseudospectral method simulation results without and with incorporating the proposed PA oscillation model. c Measured PA signal of the black line phantom with photograph. d–f The frequency spectrums of the PA signals in (a)–(c)



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