Paper
6 March 2019 Skull’s aberration modeling: towards photoacoustic human brain imaging
Leila Mohammadi, Rayyan Manwar, Hamid Behnam, Jahan Tavakkoli, Mohammad Reza Nasiri Avanaki
Author Affiliations +
Abstract
Although transcranial photoacoustic imaging has been previously investigated by several groups, there are many unknowns about the distorting effects of the skull due to the impedance mismatch between the skull and underlying layers. The current computational methods based on finite-element modeling are slow, especially in the cases where fine grids are defined for a large 3-D volume. We develop a very fast modeling/simulation framework based on deterministic ray-tracing. The framework considers a multilayer model of the medium, taking into account the frequency-dependent attenuation and dispersion effects that occur in wave reflection, refraction, and mode conversion at the skull surface. The speed of the proposed framework is evaluated. We validate the accuracy of the framework using numerical phantoms and compare its results to k-Wave simulation results. Analytical validation is also performed based on the longitudinal and shear wave transmission coefficients. We then simulated, using our method, the major skull-distorting effects including amplitude attenuation, time-domain signal broadening, and time shift, and confirmed the findings by comparing them to several ex vivo experimental results. It is expected that the proposed method speeds up modeling and quantification of skull tissue and allows the development of transcranial photoacoustic brain imaging.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leila Mohammadi, Rayyan Manwar, Hamid Behnam, Jahan Tavakkoli, and Mohammad Reza Nasiri Avanaki "Skull’s aberration modeling: towards photoacoustic human brain imaging", Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108785W (6 March 2019); https://doi.org/10.1117/12.2510549
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Cited by 4 scholarly publications.
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KEYWORDS
Skull

Signal attenuation

Acoustics

Tissues

Wave propagation

Bone

Absorption

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