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Proceedings Paper

A coupled radiative transfer and diffusion approximation model for the solution of the forward problem and the a-priori fluorophore distribution estimation in fluorescence imaging
Author(s): D. Gorpas; D. Yova; K. Politopoulos
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Paper Abstract

Although fluorescence imaging has been applied in tumour diagnosis from the early 90s, just the last few years it has met an increasing scientific interest due to the advances in the biophotonics field and the combined technological progress of the acquisition and computational systems. In addition there are expectations that fluorescence imaging will be further developed and applied in deep tumour diagnosis in the years to come. However, this evolving field of imaging sciences has still to encounter important challenges. Among them is the expression of an accurate forward model for the solution of the reconstruction problem. The scope of this work is to introduce a three dimensional coupled radiative transfer and diffusion approximation model, applicable on the fluorescence imaging. Furthermore, the solver incorporates the super-ellipsoid models and sophisticated image processing algorithms to additionally provide a-priori estimation about the fluorophores distribution, information that is very important for the solution of the inverse problem. Simulation experiments have proven that the proposed methodology preserves the accuracy levels of the radiative transfer equation and the time efficacy of the diffusion approximation, while in the same time shows extended success on the registration between acquired and simulated images.

Paper Details

Date Published: 20 February 2009
PDF: 12 pages
Proc. SPIE 7171, Multimodal Biomedical Imaging IV, 71710A (20 February 2009); doi: 10.1117/12.808116
Show Author Affiliations
D. Gorpas, National Technical Univ. of Athens (Greece)
D. Yova, National Technical Univ. of Athens (Greece)
K. Politopoulos, National Technical Univ. of Athens (Greece)

Published in SPIE Proceedings Vol. 7171:
Multimodal Biomedical Imaging IV
Fred S. Azar; Xavier Intes, Editor(s)

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