Hello，
I set source.p0 as initial sound pressure source，and I try make use of new reconstruction algorithm,but I found when the sound pressure source is in a grid ,the image is complete，but the initial source is in more grids,pectrum aliasing in image. Can anyone tell me why and how to deal with this？
Lkk
Hi Lkk,
I'm not sure I follow exactly. Keep in mind that k-Wave will smooth the initial pressure distribution, so make sure you're comparing with the smoothed source (see the included photoacoustic examples for more details).
Brad
Hi Bradley,
Thanks for your reply.After reading photoacoustic examples,I added source.p0 = smooth(source.p0,true) in my MATLAB program,and I tried to adjust the value of dt Nt to change the sampling frequency,the imaging results still aliasing.I don't know why this happens.I want to try to reproduce part speckle illumination imaging of this article(https://aip.scitation.org/doi/10.1063/1.5113476).Do you have some more detailed suggestions to solve imaging aliasing？
And I have another question.In linear photoacoustic,incident laser(Gaussian) and radiation area keep invariant，photoacoustic conversion efficiency is a constant.And now,I just change the incident laser to Gaussian speckle light，the results in simulation,I found that calculating the photoacoustic conversion efficiency of each different speckle is different,I am quite confused.
Sincerely look forward to your answer.
Lkk
Hi Liangkeke,
I'm afraid I don't understand what the aliasing issue is that you're facing. Also, k-Wave doesn't model the laser irradiation in photoacoustics nor the Grüneisen parameter. It starts with the initial pressure distribution.
Best wishes
Ben
Hi Ben,
Thanks for your answer！For the first question,the spectral aliasing of reconstructed images I have been solved,because the initial sound pressure source is undersampled.And for the second question, I'll think about the modeling.
Best Regards
Liangkeke
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