A simulation study on photoacoustic signals from red blood cells

Saha, Ratan K.; Kolios, Michael C.

doi:10.1121/1.3570946

Cited by 92 publications

(92 citation statements)

References 28 publications

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“…This framework was utilized to study OA signal properties of blood samples with nonaggregating and aggregating red blood cells (RBCs). 22 It was shown that the OA signal amplitude increased monotonically with hematocrit for the nonaggregating blood and that was similar to published experimental data. 24 The OA signal amplitude also exhibited a monotonic rise as the RBC cluster size increased for the aggregating blood.…”

Section: Introductionsupporting

confidence: 76%

“…Moreover, the solution was obtained by solving the time independent wave equation inside and outside the absorber in spherical polar coordinates and by implementing the appropriate boundary conditions (i.e., the continuity of pressure field and particle velocity at the spherical boundary). 22,23,25 The pressure field at a large distance from the center of the uniformly illuminated region composed of an ensemble of absorbers with identical physical properties and equal radii becomes, 22,23 …”

Section: Derivation Of the Nonbandlimited Signalmentioning

confidence: 99%

“…[19][20][21] Motivated from these studies, our group recently developed a frequency domain theoretical framework to study the OA signals from a collection of spherical absorbers. 22,23 The OA field, generated by many absorbers, was obtained by using the linear superposition principle for the OA fields emitted by the individual absorbers. This framework was utilized to study OA signal properties of blood samples with nonaggregating and aggregating red blood cells (RBCs).…”

Section: Introductionmentioning

confidence: 99%

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Validity of a theoretical model to examine blood oxygenation dependent optoacoustics

et al. 2012

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Abstract. A theoretical model investigating the dependence of optoacoustic (OA) signal on blood oxygen saturation (SO 2 ) is discussed. The derivations for the nonbandlimited and bandlimited OA signals from many red blood cells (RBCs) are presented. The OA field generated by many RBCs was obtained by summing the OA field emitted by each RBC approximated as a fluid sphere. A Monte Carlo technique was employed generating the spatial organizations of RBCs in two-dimensional. The RBCs were assumed to have the same SO 2 level in a simulated configuration. The fractional number of oxyhemoglobin molecules, confined in a cell, determined the cellular SO 2 and also defined the blood SO 2 . For the nonbandlimited case, the OA signal amplitude decreased and increased linearly with blood SO 2 when illuminated by 700 and 1000 nm radiations, respectively. The power spectra exhibited similar trends over the entire frequency range (MHz to GHz). For the bandlimited case, three acoustic receivers with 2, 10, and 50 MHz as the center frequencies were considered. The linear variations of the OA amplitude with blood SO 2 were also observed for each receiver at those laser sources. The good agreement between simulated and published experimental results validates the model qualitatively.

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Section: Introductionsupporting

confidence: 76%

Section: Derivation Of the Nonbandlimited Signalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Validity of a theoretical model to examine blood oxygenation dependent optoacoustics

et al. 2012

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“…33 In this case, the RBC is approximated as a spherical absorber and the PA pressure wave emitted from a single sphere and detected at a distance r in the surrounding medium can be written as 27,28 …”

Section: Theoretical Modelmentioning

confidence: 99%

“…The feasibility of PA for obtaining in vivo structural and functional information of the brain of rats as well as measuring the Hb concentration 24 and oxygenation levels in the internal jugular vein of sheep 25 and humans 26 has been successfully demonstrated. Our group has developed theoretical models to investigate the effect of RBC aggregation 27 and oxygenation 28 on the PA signals as independent processes. In addition, experimental evidence of the detection of human and porcine aggregation with PAs was reported in a recent communication.…”

Section: Photoacoustic Imaging and The Potential Of Ultrasound Spectrmentioning

confidence: 99%

Photoacoustic ultrasound spectroscopy for assessing red blood cell aggregation and oxygenation

2012

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Abstract. Red blood cell (RBC) aggregation and oxygenation are important markers for a variety of blood disorders. No current technique is capable of simultaneously measuring aggregation/oxygenation levels noninvasively. We propose using photoacoustic ultrasound spectroscopy (PAUS) for assessing both phenomena. This technique relies on frequency-domain analysis of the PA signals by extracting parameters such as the ultrasound spectral slope and the midband fit. To investigate the effect of hematocrit, aggregation, and oxygenation levels on PAUS parameters, a Monte Carlo-based theoretical model and an experimental protocol using porcine RBCs were developed. The samples were illuminated at 750 and 1064 nm and changes in the PAUS parameters were compared to the oxygendependent optical absorption coefficients to assess the oxygenation level. Good agreement between the theoretical and experimental spectral parameters was obtained for the spectral slope of the nonaggregated spectra (∼0.3 dB∕MHz). The experimental midband fit increased by ∼5 dB for the largest aggregate size. Based on the analysis of the PA signals, the oxygen saturation level of the most aggregated sample was >20% greater than the nonaggregated sample. The results provide a framework for using PA signals' spectroscopic parameters for monitoring the aggregation and oxygenation levels of RBCs.

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Evaluation of 10 current image reconstruction algorithms for linear array photoacoustic imaging

Prakash,

Manwar,

Avanaki

2024

Journal of Biophotonics

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Various reconstruction algorithms have been implemented for linear array photoacoustic imaging systems with the goal of accurately reconstructing the strength absorbers within the tissue being imaged. Since the existing algorithms have been introduced by different research groups and the context of performance evaluation was not consistent, it is difficult to make a fair comparison between them. In this study, we systematically compared the performance of ten published image reconstruction algorithms (DAS, UBP, pDAS, DMAS, MV, EIGMV, SLSC, GSC, TR, and FD) using in‐vitro phantom data. Evaluations were conducted based on lateral resolution of the reconstructed images, computational time, target detectability, and noise sensitivity. We anticipate the outcome of this study will assist researchers in selecting appropriate algorithms for their linear array PA imaging applications.This article is protected by copyright. All rights reserved.

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A simulation study on photoacoustic signals from red blood cells

Cited by 92 publications

References 28 publications

Validity of a theoretical model to examine blood oxygenation dependent optoacoustics

Validity of a theoretical model to examine blood oxygenation dependent optoacoustics

Photoacoustic ultrasound spectroscopy for assessing red blood cell aggregation and oxygenation

Evaluation of 10 current image reconstruction algorithms for linear array photoacoustic imaging

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