Paper
28 February 2018 Skull's acoustic attenuation and dispersion modeling on photoacoustic signal
Leila Mohammadi, Hamid Behnam, Jahan Tavakkoli, Mohammadreza Nasiriavanaki
Author Affiliations +
Abstract
Despite the promising results of the recent novel transcranial photoacoustic (PA) brain imaging technology, it has been demonstrated that the presence of the skull severely affects the performance of this imaging modality. We theoretically investigate the effects of acoustic heterogeneity induced by skull on the PA signals generated from single particles, with firstly developing a mathematical model for this phenomenon and then explore experimental validation of the results. The model takes into account the frequency dependent attenuation and dispersion effects occur with wave reflection, refraction and mode conversion at the skull surfaces. Numerical simulations based on the developed model are performed for calculating the propagation of photoacoustic waves through the skull. The results show a strong agreement between simulation and ex-vivo study. The findings are as follow: The thickness of the skull is the most PA signal deteriorating factor that affects both its amplitude (attenuation) and phase (distortion). Also we demonstrated that, when the depth of target region is low and it is comparable to the skull thickness, however, the skull-induced distortion becomes increasingly severe and the reconstructed image would be strongly distorted without correcting these effects. It is anticipated that an accurate quantification and modeling of the skull transmission effects would ultimately allow for aberration correction in transcranial PA brain imaging.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leila Mohammadi, Hamid Behnam, Jahan Tavakkoli, and Mohammadreza Nasiriavanaki "Skull's acoustic attenuation and dispersion modeling on photoacoustic signal", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104946K (28 February 2018); https://doi.org/10.1117/12.2291362
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Cited by 4 scholarly publications.
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KEYWORDS
Skull

Signal attenuation

Acoustics

Tissues

Distortion

Transducers

Bone

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