Quantification and normalization of noise variance with sparsity regularization to enhance diffuse optical tomography

Yao, Jixing; Tian, Fenghua; Rakvongthai, Yothin; Oraintara, S.; Liu, Hanli

doi:10.1364/boe.6.002961

Cited by 6 publications

(3 citation statements)

References 42 publications

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“…Thus, reconstruction of a volume of cortical surfaces based on distinct and different 3-D points could result in better 3-D activation maps. In the past, different algorithms have been presented for such activation maps, e.g., regularization algorithms [75,76], among them is the popular method Tikhonove regularization, which is also known as L2-norm regularization [77]. It is used frequently because of its ease of implementation and robustness of solution.…”

Section: Discussionmentioning

confidence: 99%

Approach to optimize 3-dimensional brain functional activation image with high resolution: a study on functional near-infrared spectroscopy

Shoaib¹,

Kamran²,

Mannan³

et al. 2019

Biomed. Opt. Express

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In this study, 3-dimensional (3-D) enhanced brain-function-map generation and estimation methodology is presented. Optical signals were modelled in the form of numerical optimization problem to infer the best existing waveform of canonical hemodynamic response function. Inter-channel activity patterns were also estimated. The estimation of activation of inter-channel gap depends on the minimization of generalized cross-validation. 3-D brain activation maps were produced through inverse discrete cosine transform. The proposed algorithm acquired significant results for 3-D functional maps with high resolution, in comparison with that of 2-D functional t-maps. A comprehensive analysis by exhibiting images corresponding to several layers has also been appended.

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Section: Discussionmentioning

confidence: 99%

Approach to optimize 3-dimensional brain functional activation image with high resolution: a study on functional near-infrared spectroscopy

Shoaib¹,

Kamran²,

Mannan³

et al. 2019

Biomed. Opt. Express

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“…Yao et al [167] presented a new quantification method for reduction of noise variance based upon a linear Rytov approximation [168] related to transport of light photons. The results suggest that it is an effective reconstruction approach to improve the spatial resolution with acceptable noise variance.…”

Section: B Image Reconstruction Algorithmsmentioning

confidence: 99%

Methodologies on the Enhanced Spatial Resolution of Non-Invasive Optical Brain Imaging: A Review

et al. 2019

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Optical brain imaging (OBI) has the potential for a bright future thanks to its low cost and portability relative to other biomedical imaging modalities. Temporal and spatial resolutions are considered to be the discriminatory features for selection of biomedical imaging equipment. OBI systems, however, still face the bottleneck of limited spatial resolution. In this study, existing methodologies and designs for enhancement of spatial resolution of OBI are comprehensively summarized. This is the first study reviewing all such techniques, therefore, is beneficial for researchers working in this field. The study presents general overview of principle of OBI followed by pros and cons specifically the challenges in enhancement of spatial resolution. Later, different novel existing methodologies, algorithms design and configurations, phantom related studies presenting spatial resolution enhancement have been discussed. Finally, conclusion and future directions are presented with an idea to enhance the spatial resolution of OBI up to nanoscale. INDEX TERMS Optical brain imaging, spatial resolution, optical nano-antenna, fNIRS, fMRI, fast optical imaging.

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“…Photons are thought and modeled as particles in Monte Carlo (MC) simulations 33‐54 or waves as in diffusion equation (DE) approximation which descent from nuclear radiative transfer equation (RTE) 55‐86 . Physical modeling of light transport inside the heterogeneous tissue is necessary for understanding and analyzing of weak energized photons in diffusive media.…”

Section: Introductionmentioning

confidence: 99%

Differential photon waves imaging

Kazancı

2020

Int J Imaging Syst Tech

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Imaging philosophy was simulated for well‐known biomedical diffuse optical imaging (DOI) methodology. It runs based on the differential photon waves. The underlying philosophy of imaging methodology takes its origin from the distance of the same molecule types. Inherently, each type of biological molecules has different molecular structure, size, and binding distance. Molecules might be water, oxy‐hemoglobin, deoxyhemoglobin, ATP, pepsin, cholesterol, protein, fats or lipids, hydroxyapatite, carbohydrates, glucose, glycogen, DNA, etc. These molecules need to be grouped for biomedical photon imaging purposes such as in hair, skull, scalp, cortex, dermis, epidermis, cerebrospinal fluid, cerebellar gray and white matter for neuroimaging; or skin, fat, water for breast imaging; optic nerve, humor aqueous for eye imaging; bones and joints for skeletal system imaging; liver, muscle, fibroadenoma breast, mucous tissue, nodule, bowel, heart, kidneys, lung, stomach, whole blood vascular system for inner organs. Among these different types of molecular structures, each type has different characteristic photon absorption and scattering coefficients for corresponding wavelength. Researchers have been using these characteristic wavelengths to reconstruct the images. They have focused on either absorption or scattering maximums of specific wavelengths for each tissue type. This is right when the molecules are investigated first, but it is a dead‐end when it goes deep tissue, since low‐power laser photons scatter randomly when they penetrate inside the tissue, immediately. Novel approach uses phase‐shifted group photon waves corresponding to the molecular distances. Single photon wavelength can be used to investigate the molecules inside the imaging media.

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Quantification and normalization of noise variance with sparsity regularization to enhance diffuse optical tomography

Cited by 6 publications

References 42 publications

Approach to optimize 3-dimensional brain functional activation image with high resolution: a study on functional near-infrared spectroscopy

Approach to optimize 3-dimensional brain functional activation image with high resolution: a study on functional near-infrared spectroscopy

Methodologies on the Enhanced Spatial Resolution of Non-Invasive Optical Brain Imaging: A Review

Differential photon waves imaging

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