Diffuse optical fluorescence tomography using time-resolved data acquired in transmission

F. Leblond, S. Fortier, and M. P. Friedlander. In Fred S. Azar, editor, Multimodal Biomedical Imaging II, vol. 6431. Proceedings of the International Society of Optimal Imaging, February 2007

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  • BCLS: The bound-constrained least-squares code used in this paper

Abstract

We present an algorithm using data acquired with a time-resolved system with the goal of reconstructing sources of fluorescence emanating from the deep interior of highly scattering biological tissues. A novelty in our tomography algorithm is the integration of a light transport model adapted to rodent geometries. For small volumes, our analysis suggest that neglecting the index of refraction mismatch between diffusive and non-diffusive regions, as well as the curved nature of the boundary, can have a profound impact on fluorescent images and spectroscopic applications relying on diffusion curve fitting. Moreover, we introduce a new least-squares solver with bound constraints adapted for optical problems where a physical non-negative constraint can be imposed. Finally, we find that maximizing the time-related information content of the data in the reconstruction process significantly enhances the quality of fluorescence images. Preliminary noise propagation and detector placement optimization analysis are also presented.

BibTeX

 @inproceedings{LeblFortFrie:2007,
  Author = {F. Leblond and S. Fortier and M. P. Friedlander},
  Booktitle = {Multimodal Biomedical Imaging II}, 
  Editor = {Fred S. Azar},
  Month = {February},
  Organization = {Proceedings of the International Society of Optimal Imaging},
  Title = {Diffuse optical fluorescence tomography using time-resolved data
  acquired in transmission},
  Volume = 6431,
  Year = 2007
 }