Modeling skull's acoustic attenuation and dispersion on photoacoustic signal

Mohammadi, Leila; Behnam, Hamid; Avanaki, Kamran

doi:10.1117/12.2254508

Cited by 10 publications

(11 citation statements)

References 14 publications

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“…Mohammadi et al theoretically analyzed the acoustic attenuation and dispersion induced by the skull with a simplified two‐layer skull model. All of the previous work have collectively proved that the mouse skull has posed a unique challenge for high‐resolution PA imaging of mouse brains. Nevertheless, most of the previous work has been focused on low‐frequency PAT, and none of the previous work has been able to provide a detailed study on high‐frequency acoustic wave propagation in the mouse skull, including the mode conversion and reverberation, or compare the skull's impacts on PAM and PACT images.…”

Section: Introductionmentioning

confidence: 99%

Impacts of the murine skull on high‐frequency transcranial photoacoustic brain imaging

Liang

Liu

Zhan

et al. 2019

Journal of Biophotonics

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Non‐invasive photoacoustic tomography (PAT) of mouse brains with intact skulls has been a challenge due to the skull's strong acoustic attenuation, aberration, and reverberation, especially in the high‐frequency range (>15 MHz). In this paper, we systematically investigated the impacts of the murine skull on the photoacoustic wave propagation and on the PAT image reconstruction. We studied the photoacoustic acoustic wave aberration due to the acoustic impedance mismatch at the skull boundaries and the mode conversion between the longitudinal wave and shear wave. The wave's reverberation within the skull was investigated for both longitudinal and shear modes. In the inverse process, we reconstructed the transcranial photoacoustic computed tomography (PACT) and photoacoustic microscopy (PAM) images of a point target enclosed by the mouse skull, showing the skull's different impacts on both modalities. Finally, we experimentally validated the simulations by imaging an in vitro mouse skull phantom using representative transcranial PAM and PACT systems. The experimental results agreed well with the simulations and confirmed the accuracy of our forward and inverse models. We expect that our results will provide better understanding of the impacts of the murine skull on transcranial photoacoustic brain imaging and pave the ways for future technical improvements.

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Section: Introductionmentioning

confidence: 99%

Impacts of the murine skull on high‐frequency transcranial photoacoustic brain imaging

Liang

Liu

Zhan

et al. 2019

Journal of Biophotonics

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“…Another challenge is the detection of ultrasound signals through the skull. The effects of dispersion and attenuation of the skull tissue have been explored in several studies [ 224 , 225 ]. PA signal broadening, signal shifting, and amplitude reduction are the main effects as a result of the skull tissue.…”

Section: Neuroimaging Modalities For Measuring Resting-state Functionmentioning

confidence: 99%

“…Using more sensitive ultrasound transducers, a higher number of transducers, faster data acquisition systems, higher energy laser with higher repetition rates (>50 Hz), and a more comfortable transducer-head coupling, a more practical PA system for neonatal brain imaging can be achieved. Finding the optimized wavelength for deep brain imaging, an effective skull aberration compensation algorithm [ 225 , [227] , [228] , [229] ], deconvolving the PA signal generated by the scalp and hair from that generated by the brain, and developing an optimum image reconstruction [ 197 , 198 ] and enhancement algorithms, are other issues to consider in translating PAI from preclinical studies to clinical practice. Due to its low-cost and maintenance compared with fcMRI and PET, the value of fcPAT should reconsidered as a contributor to functional neuroimaging of the newborn.…”

Section: Neuroimaging Modalities For Measuring Resting-state Functionmentioning

confidence: 99%

Neonatal brain resting-state functional connectivity imaging modalities

Mohammadi‐Nejad¹,

Mahmoudzadeh²,

Hassanpour³

et al. 2018

Photoacoustics

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Infancy is the most critical period in human brain development. Studies demonstrate that subtle brain abnormalities during this state of life may greatly affect the developmental processes of the newborn infants. One of the rapidly developing methods for early characterization of abnormal brain development is functional connectivity of the brain at rest. While the majority of resting-state studies have been conducted using magnetic resonance imaging (MRI), there is clear evidence that resting-state functional connectivity (rs-FC) can also be evaluated using other imaging modalities. The aim of this review is to compare the advantages and limitations of different modalities used for the mapping of infants’ brain functional connectivity at rest. In addition, we introduce photoacoustic tomography, a novel functional neuroimaging modality, as a complementary modality for functional mapping of infants’ brain.

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“…5 PA can be used in different applications, and its effects have been extensively investigated in various cases of studies. [6][7][8][9][10] A numerical analysis for infant brain imaging has been conducted. 11 There are two imaging methods in PAI: PA tomography (PAT) and PA microscopy.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional photoacoustic tomography using delay multiply and sum beamforming algorithm

Paridar

Mozaffarzadeh

Mahloojifar

et al. 2018

Photons Plus Ultrasound: Imaging and Sensing 2018

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Photoacoustic imaging (PAI), is a promising medical imaging technique that provides the high contrast of the optical imaging and the resolution of ultrasound (US) imaging. Among all the methods, Three-dimensional (3D) PAI provides a high resolution and accuracy. One of the most common algorithms for 3D PA image reconstruction is delay-and-sum (DAS). However, the quality of the reconstructed image obtained from this algorithm is not satisfying, having high level of sidelobes and a wide mainlobe. In this paper, delay-multiply-andsum (DMAS) algorithm is suggested to overcome these limitations in 3D PAI. It is shown that DMAS algorithm is an appropriate reconstruction technique for 3D PAI and the reconstructed images using this algorithm are improved in the terms of the width of mainlobe and sidelobes, compared to DAS. Also, the quantitative results show that DMAS improves signal-to-noise ratio (SN R) and full-width-half-maximum (F W HM ) for about 25 dB and 0.2 mm, respectively, compared to DAS.

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Modeling skull's acoustic attenuation and dispersion on photoacoustic signal

Cited by 10 publications

References 14 publications

Impacts of the murine skull on high‐frequency transcranial photoacoustic brain imaging

Impacts of the murine skull on high‐frequency transcranial photoacoustic brain imaging

Neonatal brain resting-state functional connectivity imaging modalities

Three-dimensional photoacoustic tomography using delay multiply and sum beamforming algorithm

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