Transport-based quantitative photoacoustic tomography: simulations and experiments

Yao, Lei; Sun, Yao; Jiang, Huabei

doi:10.1088/0031-9155/55/7/009

Cited by 44 publications

(49 citation statements)

References 45 publications

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“…30,32 To overcome this problem, one approach has been to assume the scattering as known and to estimate only the absorption. [35][36][37][38][39][40] This, however, is unrealistic since in practical applications scattering is usually not exactly known. This approach has been improved by modeling the errors caused by the fixed scattering assumption by using a Bayesian approximation error modeling.…”

Section: Introductionmentioning

confidence: 99%

Quantitative photoacoustic tomography using illuminations from a single direction

et al. 2015

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Abstract. Quantitative photoacoustic tomography is an emerging imaging technique aimed at estimating optical parameters inside tissues from photoacoustic images, which are formed by combining optical information and ultrasonic propagation. This optical parameter estimation problem is ill-posed and needs to be approached within the framework of inverse problems. It has been shown that, in general, estimating the spatial distribution of more than one optical parameter is a nonunique problem unless more than one illumination pattern is used. Generally, this is overcome by illuminating the target from various directions. However, in some cases, for example when thick samples are investigated, illuminating the target from different directions may not be possible. In this work, the use of spatially modulated illumination patterns at one side of the target is investigated with simulations. The results show that the spatially modulated illumination patterns from a single direction could be used to provide multiple illuminations for quantitative photoacoustic tomography. Furthermore, the results show that the approach can be used to distinguish absorption and scattering inclusions located near the surface of the target. However, when compared to a full multidirection illumination setup, the approach cannot be used to image as deep inside tissues. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%

Quantitative photoacoustic tomography using illuminations from a single direction

et al. 2015

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“…It was reported that U calculated with PDE became larger than that with MC simulation as l a increased. The difference between PDE and RTE was demonstrated in the 2D medium in the literature [30]. It is said that the photon flux calculated with 2D PDE was smaller than that with 2D RTE in the target region with a large absorption coefficient.…”

Section: Effects Of the Approximations On The Absorbed Light Energymentioning

confidence: 90%

“…Additionally, it is not appropriate to use PDE when the absorption coefficient is not sufficiently smaller than the scattering coefficient. Yao and coworkers demonstrated that the RTE-based image reconstruction was more accurate than the PDE-based image reconstruction in a 2D medium when PDE was invalid because of the large absorption coefficient and the anisotropy of the light scattering [30]. However, the effects of the approximations of light propagation on QPAT have not been investigated quantitatively and systematically.…”

Section: Introductionmentioning

confidence: 99%

Effects of the approximations of light propagation on quantitative photoacoustic tomography using two-dimensional photon diffusion equation and linearization

Okawa

Hirasawa

Kubota

et al. 2017

Opt Rev

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Quantitative photoacoustic tomography (QPAT) employing a light propagation model will play an important role in medical diagnoses by quantifying the concentration of hemoglobin or a contrast agent. However, QPAT by the light propagation model with the three-dimensional (3D) radiative transfer equation (RTE) requires a huge computational load in the iterative forward calculations involved in the updating process to reconstruct the absorption coefficient. The approximations of the light propagation improve the efficiency of the image reconstruction for the QPAT. In this study, we compared the 3D/ two-dimensional (2D) photon diffusion equation (PDE) approximating 3D RTE with the Monte Carlo simulation based on 3D RTE. Then, the errors in a 2D PDE-based linearized image reconstruction caused by the approximations were quantitatively demonstrated and discussed in the numerical simulations. It was clearly observed that the approximations affected the reconstructed absorption coefficient. The 2D PDE-based linearized algorithm succeeded in the image reconstruction of the region with a large absorption coefficient in the 3D phantom. The value reconstructed in the phantom experiment agreed with that in the numerical simulation, so that it was validated that the numerical simulation of the image reconstruction predicted the relationship between the true absorption coefficient of the target in the 3D medium and the reconstructed value with the 2D PDE-based linearized algorithm. Moreover, the the true absorption coefficient in 3D medium was estimated from the 2D reconstructed image on the basis of the prediction by the numerical simulation. The estimation was successful in the phantom experiment, although some limitations were revealed.

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“…The phantom is composed of 1% Intralipid R (Sigma Aldrich, St. Louis, MO, USA), 1% highly purified agar (A0930-05, USBiological, Swampscott, MA, USA), and deionized water. Intralipid R is a phospholipid emulsion that is widely used for optical and photoacoustic phantom studies, because it is a homogeneous and turbid medium without distinct absorption bands [11,13,17,30,59]. Agar was used to solidify the phantom, without notably increasing turbidity or absorption [11].…”

Section: Methodsmentioning

confidence: 99%

Characterizing Phantom Arteries with Multi-channel Laser Ultrasonics and Photo-acoustics

Johnson

Wijk

Sabick

2014

Ultrasound in Medicine & Biology

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Multi-channel photoacoustic and laser-ultrasonic waves are used to sense the characteristics of proxies for healthy and diseased vessels. The acquisition system is non-contacting and non-invasive with a pulsed laser source, and a laser vibrometer detector. As the wave signatures of our targets are typically low in amplitude, we exploit multi-channel acquisition and processing techniques. These are commonly used in seismology, to improve the signal-to-noise ratio of our data. We identify vessel proxies with a diameter on the order of 1 mm, at a depth of 18 mm. Variations in scattered and photoacoustic signatures are related to differences in vessel wall properties and content. The methods described have the potential to improve imaging and better inform interventions for atherosclerotic vessels, such as the carotid artery.

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Transport-based quantitative photoacoustic tomography: simulations and experiments

Cited by 44 publications

References 45 publications

Quantitative photoacoustic tomography using illuminations from a single direction

Quantitative photoacoustic tomography using illuminations from a single direction

Effects of the approximations of light propagation on quantitative photoacoustic tomography using two-dimensional photon diffusion equation and linearization

Characterizing Phantom Arteries with Multi-channel Laser Ultrasonics and Photo-acoustics

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