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Skull's Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction.
Mohammadi, Leila; Behnam, Hamid; Tavakkoli, Jahan; Avanaki, Mohammad R N.
Afiliación
  • Mohammadi L; Department of Biomedical Engineering, Islamic Azad University, Science and Research Branch, Tehran 1477893855, Iran. lemoelec@gmail.com.
  • Behnam H; Department of Biomedical Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran. behnam@iust.ac.ir.
  • Tavakkoli J; Department of Physics, Ryerson University, Toronto, ON M5B 2K3, Canada. jtavakkoli@ryerson.ca.
  • Avanaki MRN; Institute for Biomedical Engineering, Science and Technology (iBEST), Keenan Research Center for Biomedical Science, St. Michael's Hospital, Toronto, ON M5B 1W8, Canada. jtavakkoli@ryerson.ca.
Sensors (Basel) ; 19(2)2019 Jan 16.
Article en En | MEDLINE | ID: mdl-30654543
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Suiza