Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

OPTICAL PROPERTY CHARACTERIZATION BASED ON A PHASE FUNCTION APPROXIMATION MODEL.

Proceedings. IEEE International Symposium on Biomedical Imaging·2010

Same author

Flux vector formulation for photon propagation in the biological tissue.

Optics letters·2007

Same author

Interaction in vivo and in vitro of the metastasis-inducing S100 protein, S100A4 (p9Ka) with S100A1.

The Journal of biological chemistry·2001

Same author

Synthesis and cytokine modulation properties of pyrrolo[2, 3-d]-4-pyrimidone nucleosides.

Journal of medicinal chemistry·2000

Same author

Reciprocal information flow between prefrontal cortex and ventral tegmental area in an animal model of schizophrenia.

Neuroreport·2000

Same author

The "waiting period" of sensory and motor axons in early chick hindlimb: its role in axon pathfinding and neuronal maturation.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2000

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

Published on: August 22, 2018

Modeling photon propagation in biological tissues using a generalized Delta-Eddington phase function.

W Cong¹, H Shen, A Cong

¹Biomedical Imaging Division, School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute and State University, 1880 Pratt Drive, Suite 2000, Blacksburg, Virginia 24061, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|February 1, 2008

Summary

A new generalized Delta-Eddington phase function accurately models photon propagation in biological tissues. This method simplifies the radiative transfer equation, offering a more precise alternative to diffusion approximation for optical parameter analysis.

More Related Videos

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Published on: February 12, 2018

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching

Published on: February 26, 2010

Related Experiment Videos

Last Updated: Jul 7, 2026

Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

Published on: August 22, 2018

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure

Published on: February 12, 2018

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching

Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching

Published on: February 26, 2010

Area of Science:

Biomedical Optics
Computational Physics
Radiative Transfer Theory

Background:

Photon propagation in biological tissue is crucial for medical imaging and therapy.
The radiative transfer equation (RTE) is the standard model, but its computational complexity is high.
The phase function within the RTE significantly impacts solution accuracy and computational efficiency.

Purpose of the Study:

To introduce a generalized Delta-Eddington phase function for simplifying the RTE.
To develop an integral equation solution for photon fluence rate.
To enhance the accuracy and efficiency of modeling photon transport in biological tissues.

Main Methods:

Developed a generalized Delta-Eddington phase function.
Formulated an integral equation based on the simplified RTE for photon fluence rate.
Validated the model against Monte Carlo simulations.

Main Results:

The generalized Delta-Eddington phase function effectively simplifies the RTE.
The integral equation solution demonstrates high accuracy across a wide range of optical parameters.
The proposed method outperforms the conventional diffusion approximation model.

Conclusions:

The generalized Delta-Eddington phase function provides a highly accurate and efficient method for modeling photon propagation in biological tissues.
This approach offers a valuable tool for applications requiring precise simulation of light-tissue interactions.
The validated methodology can improve the precision and computational efficiency in biomedical optics.