Chirped or time modulated excitation compared to short pulses for photoacoustic imaging in acoustic attenuating media

Peter Burgholzer, Christian Motz, Oliver Lang, Thomas Berer, Mario Huemer

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

In photoacoustic imaging, optically generated acoustic waves transport the information about embedded structures to the sample surface. Usually, short laser pulses are used for the acoustic excitation. Acoustic attenuation increases for higher frequencies, which reduces the bandwidth and limits the spatial resolution. One could think of more efficient waveforms than single short pulses, such as pseudo noise codes, chirped, or harmonic excitation, which could enable a higher information-transfer from the samples interior to its surface by acoustic waves. We used a linear state space model to discretize the wave equation, such as the Stoke’s equation, but this method could be used for any other linear wave equation. Linear estimators and a non-linear function inversion were applied to the measured surface data, for onedimensional image reconstruction. The proposed estimation method allows optimizing the temporal modulation of the excitation laser such that the accuracy and spatial resolution of the reconstructed image is maximized. We have restricted ourselves to one-dimensional models, as for higher dimensions the one-dimensional reconstruction, which corresponds to the acoustic wave without attenuation, can be used as input for any ultrasound imaging method, such as back-projection or time-reversal method.
Original languageEnglish
Title of host publicationProceedings SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018
Number of pages7
DOIs
Publication statusPublished - Feb 2018

Fields of science

  • 202036 Sensor systems
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202015 Electronics
  • 202022 Information technology
  • 202037 Signal processing

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Mechatronics and Information Processing

Cite this