Physics-based subsurface visualization of human tissue.

Full Abstract

In this paper, we present a framework for simulating light transport in three-dimensional tissue with inhomogeneous scattering properties. Our approach employs a computational model to simulate light scattering in tissue through the finite element solution of the diffusion equation. Although our model handles both visible and nonvisible wavelengths, we especially focus on the interaction of near infrared (NIR) light with tissue. Since most human tissue is permeable to NIR light, tools to noninvasively image tumors, blood vasculature, and monitor blood oxygenation levels are being constructed. We apply this model to a numerical phantom to visually reproduce the images generated by these real-world tools. Therefore, in addition to enabling inverse design of detector instruments, our computational tools produce physically-accurate visualizations of subsurface structures.

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Author information

Author/s: Sharp, Richard (R); Adams, Jacob (J); Machiraju, Raghu (R); Lee, Robert (R); Crane, Robert (R);

Affiliation: Department of Computer and Information Science, The Ohio State University, Columbus 43212, USA. sharpr(-atsign-)cse.ohio-state.edu

Journal and publication information

Publication Type: Journal Article

Journal: IEEE transactions on visualization and computer graphics (IEEE Trans Vis Comput Graph), published in United States. (Language: eng)

Reference: -2007 May-Jun; vol 13 (issue 3) : pp 620-9

Dates: Created 2007/03/14; Completed 2007/05/03; Revised 2008/11/21;

PMID: 17356226, status: MEDLINE (last retrieval date: 12/26/2008)

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Biophysical Phenomena
Biophysics
Computer Graphics
Computer Simulation
Forearm - anatomy & histology; blood supply
Humans

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