Diffusion vs. Monte Carlo for Image Reconstruction in Mesoscopic Volumes

Iranmahboob, Amir; Hillman, Elizabeth M. C.

doi:10.1364/biomed.2008.bsue34

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…53,54 The MC method is able to solve the RTE with a desired accuracy; hence, it is well suited to simulating the light propagation in mesoscopic regimes. 40,47,54,55 Compared to other analytical or empirical methods, large packets of photons need to be simulated (10 5 to 10 9 ) to obtain simulations with stochastic accuracy, requiring intensive computation and a great deal of time. A variety of methods for speeding up MC simulations, including scaling methods, 56 perturbation methods, 57 hybrid methods, 58 variation reduction techniques, 59 and parallel computation, 60,61 has been developed.…”

Section: Monte Carlo Methodsmentioning

confidence: 99%

“…40,42 It has been shown that DA cannot account for boundary measurements when there are structures within the scattering length from the surface of superficial tissues. 47,48 In other words, DA is invalid and will not provide accurate results for the small source-detector separations typically used for LOT in mesoscopic regime.…”

Section: Radiative Transfer Equation Based Modelmentioning

confidence: 99%

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Review of mesoscopic optical tomography for depth-resolved imaging of hemodynamic changes and neural activities

et al. 2016

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Abstract. Understanding the functional wiring of neural circuits and their patterns of activation following sensory stimulations is a fundamental task in the field of neuroscience. Furthermore, charting the activity patterns is undoubtedly important to elucidate how neural networks operate in the living brain. However, optical imaging must overcome the effects of light scattering in the tissue, which limit the light penetration depth and affect both the imaging quantitation and sensitivity. Laminar optical tomography (LOT) is a three-dimensional (3-D) in-vivo optical imaging technique that can be used for functional imaging. LOT can achieve both a resolution of 100 to 200 μm and a penetration depth of 2 to 3 mm based either on absorption or fluorescence contrast, as well as large field-of-view and high acquisition speed. These advantages make LOT suitable for 3-D depth-resolved functional imaging of the neural functions in the brain and spinal cords. We review the basic principles and instrumentations of representative LOT systems, followed by recent applications of LOT on 3-D imaging of neural activities in the rat forepaw stimulation model and mouse whisker-barrel system.

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Section: Monte Carlo Methodsmentioning

confidence: 99%

Section: Radiative Transfer Equation Based Modelmentioning

confidence: 99%

Review of mesoscopic optical tomography for depth-resolved imaging of hemodynamic changes and neural activities

et al. 2016

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“…The Monte Carlo method has been widely used to model photon propagation in scattering samples in many applications of LOT [1, 7-9]. The radiative transport equation (RTE) or the diffusion approximation to the RTE can be used in place of the Monte Carlo method; however, it is known that the diffusion approximation does not provide accurate results in the case of the small source-detector separations used in LOT in general [30]. In the Monte Carlo method, a large number of photons need to be simulated in order to obtain the stochastic accuracy.…”

Section: System Modelmentioning

confidence: 99%

Simulation study on compressive laminar optical tomography for cardiac action potential propagation

Harada

Tomii

Manago

et al. 2017

Biomed. Opt. Express

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To measure the activity of tissue at the microscopic level, laminar optical tomography (LOT), which is a microscopic form of diffuse optical tomography, has been developed. However, obtaining sufficient recording speed to determine rapidly changing dynamic activity remains major challenges. For a high frame rate of the reconstructed data, we here propose a new LOT method using compressed sensing theory, called compressive laminar optical tomography (CLOT), in which novel digital micromirror device-based illumination and data reduction in a single reconstruction are applied. In the simulation experiments, the reconstructed volumetric images of the action potentials that were acquired from 5 measured images with random pattern featured a wave border at least to a depth of 2.5 mm. Consequently, it was shown that CLOT has potential for over 200 fps required for the cardiac electrophysiological phenomena.

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“…Instead of Monte Carlo modeling, LOT image reconstruction could use different models of light propagation such as the radiative transport equation (RTE) [43], or the diffusion approximation to the RTE [12] (although for the small source-detector separations typically used with LOT, the diffusion approximation is invalid and will not provide accurate results [44]). If reciprocity relations are to be used for generation of J , for reconstructions of absorption contrast it is essential to account for the directionality of the photons at shallow depths [13, 30].…”

Section: Lot Modeling Data Interpretation and Image Reconstructionmentioning

confidence: 99%

Sub‐millimeter resolution 3D optical imaging of living tissue using laminar optical tomography

Hillman

Burgess

2009

Laser & Photonics Reviews

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In-vivo imaging of optical contrast in living tissues can allow measurement of functional parameters such as blood oxygenation and detection of targeted and active fluorescent contrast agents. However, optical imaging must overcome the effects of light scattering, which limit the penetration depth and can affect quantitation and sensitivity. This article focuses on a technique for high-resolution, high-speed depth-resolved optical imaging of superficial living tissues called laminar optical tomography (LOT), which is capable of imaging absorbing and fluorescent contrast in living tissues to depths of 2–3 mm with 100–200 micron resolution. An overview of the advantages and challenges of in-vivo optical imaging is followed by a review of currently available techniques for high-resolution optical imaging of tissues. LOT is then described, including a description of the imaging system design and discussion of data analysis and image reconstruction approaches. Examples of recent applications of LOT are then provided and compared to other existing technologies. By measuring multiply-scattered light, Laminar Optical Tomography can probe beneath the surface of living tissues such as the skin and brain.

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Diffusion vs. Monte Carlo for Image Reconstruction in Mesoscopic Volumes

Cited by 3 publications

References 12 publications

Review of mesoscopic optical tomography for depth-resolved imaging of hemodynamic changes and neural activities

Review of mesoscopic optical tomography for depth-resolved imaging of hemodynamic changes and neural activities

Simulation study on compressive laminar optical tomography for cardiac action potential propagation

Sub‐millimeter resolution 3D optical imaging of living tissue using laminar optical tomography

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