Quantitative photoacoustic tomography based on the radiative transfer equation

Yao, Lei; Sun, Yao; Jiang, Huabei

doi:10.1364/ol.34.001765

Cited by 62 publications

(55 citation statements)

References 13 publications

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“…Cox et al 87,88 demonstrated this scheme with numerical examples in 2-D using a finite-element model of the DA, although it will also apply in 3-D and does not depend on this particular choice of light model or on any particular illumination geometry. Indeed, the same scheme has been used with the RTE 89 (Sec. 5.3).…”

Section: Fixed-point Iterationmentioning

confidence: 99%

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Quantitative spectroscopic photoacoustic imaging: a review

et al. 2012

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Abstract. Obtaining absolute chromophore concentrations from photoacoustic images obtained at multiple wavelengths is a nontrivial aspect of photoacoustic imaging but is essential for accurate functional and molecular imaging. This topic, known as quantitative photoacoustic imaging, is reviewed here. The inverse problems involved are described, their nature (nonlinear and ill-posed) is discussed, proposed solution techniques and their limitations are explained, and the remaining unsolved challenges are introduced.

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Section: Fixed-point Iterationmentioning

confidence: 99%

“…Unfortunately, this decomposition is impractical for most biological media of interest. Yao et al 89 used the RTE with the fixed-point iteration of Sec. 5.1.3, which assumes that the scattering is known, and compared it with the same inversion using the DA.…”

Section: Inversions For Absorption and Scattering: Rtementioning

confidence: 99%

Quantitative spectroscopic photoacoustic imaging: a review

et al. 2012

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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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“…Although there has been some success in achieving quantitative information from PA images, previous studies have largely been done in simulation, [22][23][24][25][26][27][28] or applied iterative approaches using the PA image in conjunction with a light transport model to arrive at a least squares solution of the absorption coefficient by assuming uniform bulk optical properties. 24,[29][30][31][32] With our hybrid technique, DOT is used to recover low-resolution absorption and reduced scattering coefficient maps of a tissue-mimicking phantom that was initially imaged in a PAI system. The optical properties and the nonuniform surface fluence pattern of the PAI system are input parameters to a light-tissue model that calculates the fluence throughout the phantom.…”

Section: Introductionmentioning

confidence: 99%

Quantitative photoacoustic imaging: correcting for heterogeneous light fluence distributions using diffuse optical tomography

et al. 2011

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Abstract. The specificity of molecular and functional photoacoustic (PA) images depends on the accuracy of the photoacoustic absorption spectroscopy. The PA signal is proportional to the product of the optical absorption coefficient and local light fluence; quantitative PA measurements of the optical absorption coefficient therefore require an accurate estimation of optical fluence. Light-modeling aided by diffuse optical tomography (DOT) can be used to map the required fluence and to reduce errors in traditional PA spectroscopic analysis. As a proof-ofconcept, we designed a tissue-mimicking phantom to demonstrate how fluence-related artifacts in PA images can lead to misrepresentations of tissue properties. To correct for these inaccuracies, the internal fluence in the tissue phantom was estimated by using DOT to reconstruct spatial distributions of the absorption and reduced scattering coefficients of multiple targets within the phantom. The derived fluence map, which only consisted of low spatial frequency components, was used to correct PA images of the phantom. Once calibrated to a known absorber, this method reduced errors in estimated absorption coefficients from 33% to 6%. These results experimentally demonstrate that combining DOT with PA imaging can significantly reduce fluence-related errors in PA images, while producing quantitatively accurate, high-resolution images of the optical absorption coefficient. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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Quantitative photoacoustic tomography based on the radiative transfer equation

Cited by 62 publications

References 13 publications

Quantitative spectroscopic photoacoustic imaging: a review

Quantitative spectroscopic photoacoustic imaging: a review

Quantitative photoacoustic tomography using illuminations from a single direction

Quantitative photoacoustic imaging: correcting for heterogeneous light fluence distributions using diffuse optical tomography

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