Scattering and absorption of turbid materials determined from reflection measurements 1: Theory

Groenhuis, R. A. J.; Ferwerda, H.A.; Bosch, J.J. ten

doi:10.1364/ao.22.002456

Cited by 452 publications

(207 citation statements)

References 13 publications

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“…and z is the depth (Figure 19), z b = 2AD where A is a constant that can be determined by an empirical approach [107]. Then the Green's function for the diffuse reflectance can be calculated as the gradient of the fluence rate (i.e., flux):…”

Section: Principle and Mathematical Theorymentioning

confidence: 99%

Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review

Huang

2017

Applied Sciences

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New, non-destructive sensing techniques for fast and more effective quality assessment of fruits and vegetables are needed to meet the ever-increasing consumer demand for better, more consistent and safer food products. Over the past 15 years, hyperspectral imaging has emerged as a new generation of sensing technology for non-destructive food quality and safety evaluation, because it integrates the major features of imaging and spectroscopy, thus enabling the acquisition of both spectral and spatial information from an object simultaneously. This paper first provides a brief overview of hyperspectral imaging configurations and common sensing modes used for food quality and safety evaluation. The paper is, however, focused on the three innovative hyperspectral imaging-based techniques or sensing platforms, i.e., spectral scattering, integrated reflectance and transmittance, and spatially-resolved spectroscopy, which have been developed in our laboratory for property and quality evaluation of fruits, vegetables and other food products. The basic principle and instrumentation of each technique are described, followed by the mathematical methods for processing and extracting critical information from the acquired data. Applications of these techniques for property and quality evaluation of fruits and vegetables are then presented. Finally, concluding remarks are given on future research needs to move forward these hyperspectral imaging techniques.

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Section: Principle and Mathematical Theorymentioning

confidence: 99%

Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review

Huang

2017

Applied Sciences

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“…Many researchers (e.g., Furutsu, 1980;Groenhuis et al, 1983;Ishimaru, 1978;Johnson, 1970;Patterson et al, 1989) …”

Section: Diffuse Optical Imaging Forward and Inverse Problem Basicsmentioning

confidence: 99%

Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy

2004

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Near-infrared spectroscopy (NIRS) and diffuse optical imaging (DOI) are finding widespread application in the study of human brain activation, motivating further application-specific development of the technology. NIRS and DOI offer the potential to quantify changes in deoxyhemoglobin (HbR) and total hemoglobin (HbT) concentration, thus enabling distinction of oxygen consumption and blood flow changes during brain activation. While the techniques implemented presently provide important results for cognition and the neurosciences through their relative measures of HbR and HbT concentrations, there is much to be done to improve sensitivity, accuracy, and resolution. In this paper, we review the advances currently being made and issues to consider for improving optical image quality. These include the optimal selection of wavelengths to minimize random and systematic error propagation in the calculation of the hemoglobin concentrations, the filtering of systemic physiological signal clutter to improve sensitivity to the hemodynamic response to brain activation, the implementation of overlapping measurements to improve image spatial resolution and uniformity, and the utilization of spatial prior information from structural and functional MRI to reduce DOI partial volume error and improve image quantitative accuracy. D 2004 Elsevier Inc. All rights reserved.

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“…It is a stochastic method that simulates photon propagation as a random walk from one interaction to another. Transport of light in the tissue can be described by computer simulation of appropriately weighted random absorption and scattering interactions [3,4,5]. A three-dimensional MonteCarlo model based on transport equation [5] was developed in our study.…”

Section: Methodsmentioning

confidence: 99%

Monte-Carlo Simulation of Light Transport for NIRS Measurements in Tumors of Elliptic Geometry

Pavlin

Jarm

Miklavčič

2003

Oxygen Transport to Tissue XXIV

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Abstract:Propagation of light in a highly scattering medium such as biological tissue is difficult to study. For complex geometry and multilayer structures computer simulation has to be used for light transport analysis. A Monte Carlo model of light propagation in tissue has been applied for the purpose of better understanding of the results of near-infrared spectroscopy (NIRS) measurements in experimental tumors. The major objective was to determine the percentage and location of the illuminated area in tumor and to estimate fraction of NIRS signal originating from the underlying tissues. Values of optical parameters used in the model were taken from literature. Tumor shape was approximated with a rotational ellipsoid. Computer simulations were made for two positions of optodes: reflectance and transmittance mode.Results of simulations indicate that in both configurations the majority of signal originates from tumor and not from surrounding tissue. In reflectance mode collected light comes from limited area near the optode whereas in transmittance mode the collected light illuminate almost whole tumor. This difference between the two modes is valid for all tissue parameters.

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Scattering and absorption of turbid materials determined from reflection measurements 1: Theory

Cited by 452 publications

References 13 publications

Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review

Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review

Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy

Monte-Carlo Simulation of Light Transport for NIRS Measurements in Tumors of Elliptic Geometry

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