Skull acoustic aberration correction in photoacoustic microscopy using a vector space similarity model: a proof-of-concept simulation study

Leila Mohammadi; Hamid Behnam; Jahan Tavakkoli; Kamran Avanaki

doi:10.1364/BOE.402027

Skull acoustic aberration correction in photoacoustic microscopy using a vector space similarity model: a proof-of-concept simulation study

Biomed Opt Express. 2020 Sep 14;11(10):5542-5556. doi: 10.1364/BOE.402027. eCollection 2020 Oct 1.

Authors

Leila Mohammadi¹, Hamid Behnam², Jahan Tavakkoli^{3

4}, Kamran Avanaki^{5

6}

Affiliations

¹ Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
² Department of Biomedical Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran.
³ Department of Physics, Ryerson University, Toronto, ON M5B 2K3, Canada.
⁴ Institute for Biomedical Engineering, Science and Technology (iBEST), Keenan Research Center for Biomedical Science, St. Michael's Hospital, Toronto, ON M5B 1W8, Canada.
⁵ Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
⁶ Department of Dermatology, University of Illinois at Chicago, Chicago, IL 60607, USA.

Abstract

Skull bone represents a highly acoustical impedance mismatch and a dispersive barrier for the propagation of acoustic waves. Skull distorts the amplitude and phase information of the received waves at different frequencies in a transcranial brain imaging. We study a novel algorithm based on vector space similarity model for the compensation of the skull-induced distortions in transcranial photoacoustic microscopy. The results of the algorithm tested on a simplified numerical skull phantom, demonstrate a fully recovered vasculature with the recovery rate of 91.9%.

Grants and funding

R01 EB028661/EB/NIBIB NIH HHS/United States