Dear Dr. Treeby and Dr. Cox,
thanks for sharing this excellent and well documented toolbox.
I would like to know the appropriate way to use the sensor_data or the sensor_data.p after some simulations, to implement a back projection algorithm in PAT.
Kind regards,
Tim
Hi Tim,
The sensor_data that is returned after a k-Wave simulation contains the time-varying pressure signal recorded at each of the sensor points specified by sensor.mask. It is indexed as sensor_data(sensor_point_index, time_index). If you use a Cartesian sensor mask, the sensor points are returned in the same order as the list of Cartesian points. If you use a binary sensor mask, the sensor points are returned according to MATLAB’s column-wise linear matrix index ordering (there is some more information in k-Wave manual in Secs. 3.4 and 3.5).
Given the numerical sensor data, you can then use this with your back-projection algorithm the same way as you would with experimental data.
Hope that helps,
Brad.
Dear Dr. Treeby
I got sensor_data_2D and sensor_data_3D from k-wave tool box,then I want to use these data to reconstruction by back projection algorithm in PAT.But,reconstruction amplitude is not correct.before this simulation,back projection algorithm has been tested with the theory n-sharp(from sphercial absorber)and no problem.
Thank you and Regards
martin
Hi Martin,
Could you give a few more details of the problem?
Brad.
Hi everyone,
I'm new to photoacoustic imaging. I want to know how to implement the backprojection algorithm. Could someone give me a reference program.My email is zengqingwei519@yahoo.com. m.files is the best.
Thanks in advance.
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