Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction
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...
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| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/19/2/345 |
| _version_ | 1797999135501058048 |
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| author | Leila Mohammadi Hamid Behnam Jahan Tavakkoli Mohammad R. N. Avanaki |
| author_facet | Leila Mohammadi Hamid Behnam Jahan Tavakkoli Mohammad R. N. Avanaki |
| author_sort | Leila Mohammadi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T10:59:45Z |
| format | Article |
| id | doaj.art-909b10eee5434a3cb8cfcf13f139d11c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T10:59:45Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-909b10eee5434a3cb8cfcf13f139d11c2022-12-22T04:28:39ZengMDPI AGSensors1424-82202019-01-0119234510.3390/s19020345s19020345Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration CorrectionLeila Mohammadi0Hamid Behnam1Jahan Tavakkoli2Mohammad R. N. Avanaki3Department of Biomedical Engineering, Islamic Azad University, Science and Research Branch, Tehran 1477893855, IranDepartment of Biomedical Engineering, Iran University of Science and Technology, Tehran 1684613114, IranDepartment of Physics, Ryerson University, Toronto, ON M5B 2K3, CanadaDepartment of Biomedical Engineering, Wayne State University, Detroit, MI 48202, USAAlthough 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.http://www.mdpi.com/1424-8220/19/2/345acoustic attenuationacoustic dispersionmode conversionnumerical simulationphotoacoustic imagingskull phantomtranscranial brain imaging |
| spellingShingle | Leila Mohammadi Hamid Behnam Jahan Tavakkoli Mohammad R. N. Avanaki Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction Sensors acoustic attenuation acoustic dispersion mode conversion numerical simulation photoacoustic imaging skull phantom transcranial brain imaging |
| title | Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction |
| title_full | Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction |
| title_fullStr | Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction |
| title_full_unstemmed | Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction |
| title_short | Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction |
| title_sort | skull s photoacoustic attenuation and dispersion modeling with deterministic ray tracing towards real time aberration correction |
| topic | acoustic attenuation acoustic dispersion mode conversion numerical simulation photoacoustic imaging skull phantom transcranial brain imaging |
| url | http://www.mdpi.com/1424-8220/19/2/345 |
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