&lt;title&gt;Using radiance predicted by the P3 approximation in a spherical geometry to predict tissue optical properties&lt;/title&gt;

Dickey, Dwayne J.; Moore, Ronald B.; Tulip, J.

doi:10.1117/12.413701

Cited by 6 publications

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“…The optical parameters for each of the three prostate samples were determined by fitting the radiance curve to the experimental measurements using σ a , σ s and g as variable parameters (Dickey et al 2000). A set of three fluence curves was plotted using the highest optical parameters, lowest measured optical parameters and the average optical parameters furnished via the P3 approximation.…”

Section: Methodsmentioning

confidence: 99%

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Dickey

Moore²,

Rayner³

et al. 2001

Phys. Med. Biol.

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In earlier work, we demonstrated that radiance, calculated using the P3 approximation in a plane wave geometry, could be used to accurately predict the optical parameters of an Intralipid/methylene blue phantom. Plane wave geometry is impractical for clinical use but the results of this work encouraged us to further develop the P3 approximation for a spherical geometry, described in this paper. Radiance predicted by this model for a defined Intralipid/methylene blue phantom was compared with radiance measured in this phantom. The results demonstrate that the spherical derivation of the P3 approximation will reproducibly predict optical parameters of a tissue phantom as effectively as the slab geometry derivation of the P3 approximation. In a similar protocol, the P3 approximation was used to estimate the optical parameters of ex vivo human prostate. Radiance in this case was measured in the prostate samples using an after loading technique. Three prostate samples tested were found to be surprisingly optically homogeneous. The after loading protocol described in this paper could form the basis of a minimally invasive and effective clinical method to optically characterize human prostate.

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Section: Methodsmentioning

confidence: 99%

Untitled

Dickey

Moore²,

Rayner³

et al. 2001

Phys. Med. Biol.

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“…First, the measurement point needs to be remote from the light source, i.e., at a distance from the surface where the incident light beam has become completely diffuse [55]. Second, the absorption coefficient of the medium needs to be much smaller than its scattering coefficient [34]. In other words, this approximation can be successfully applied only when scattering events are more probable than absorption events.…”

Section: Generalizationsmentioning

confidence: 99%

Hyperspectral Modeling of Material Appearance: General Framework, Challenges and Prospects

Baranoski

2015

RITA

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Abstract:The main purpose of this tutorial is to address theoretical and practical issues involved in the development of predictive material appearance models for interdisciplinary applications within and outside the visible spectral domain. We examine the specific constraints and pitfalls found in each of the key stages of the model development framework, namely data collection, design and evaluation, and discuss alternatives to enhance the effectiveness of the entire process. Although predictive material appearance models developed by computer graphics researchers are usually aimed at realistic image synthesis applications, they also provide valuable support for a myriad of advanced investigations in related areas, such as computer vision, image processing and pattern recognition, which rely on the accurate analysis and interpretation of material appearance attributes in the hyperspectral domain. In fact, their scope of contributions goes beyond the realm of traditional computer science applications. For example, predictive light transport simulations, which are essential for the development of these models, are also regularly being used by physical and life science researchers to understand and predict material appearance changes prompted by mechanisms which cannot be fully studied using standard "wet" experimental procedures. For completeness, this tutorial also provides an overview of such synergistic research efforts and in silico investigations, which are illustrated by case studies involving the use of hyperspectral material appearance models.

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“…The models of light interaction with human skin developed by the scientific community are usually designed to support noninvasive measurement of tissue optical properties to be used in the diagnosis [72,86], prevention [61] and treatment of skin diseases [18,69]. It is worth noting that a substantial portion of the modeling work done in these fields is either laser-based or aimed at wavelengths outside the visible region of the light spectrum (ultraviolet and infrared domains).…”

Section: Natural Phenomena Simulation Group -Waterloo -Canada Siggrapmentioning

confidence: 99%

“…First, the measurement point needs to be remote from the light source, i.e., at a distance from the surface where the incident light beam has become completely diffuse [37]. Second, the absorption coefficient of the medium needs to be much smaller than its reduced scattering coefficient [18]. When the absorption coefficient of a turbid medium is not significantly smaller than the scattering coefficient, the diffusion theory provides a poor approximation for the photon transport equation [ Modeled results can be obtained using virtual measurement devices.…”

Section: Slide 60mentioning

confidence: 99%

Biophysically-based appearance models

Baranoski

2009

ACM SIGGRAPH ASIA 2009 Courses

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<title>Using radiance predicted by the P3 approximation in a spherical geometry to predict tissue optical properties</title>

Cited by 6 publications

References 0 publications

Untitled

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Hyperspectral Modeling of Material Appearance: General Framework, Challenges and Prospects

Biophysically-based appearance models

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