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Proceedings Paper

Effects of prior MRI information on image reconstruction in diffuse optical tomography
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Paper Abstract

We describe a method to increase the speed of convergence for the simultaneous reconstruction of absorption and scattering images in Diffuse Optical Tomography (DOT). We used the diffusion approximation of the radiative transfer equation and the Finite Element Method (FEM) to solve the forward problem. The absorption and reduced scattering images are reconstructed by inverting the distribution of the moments of the time-dependent detected light flux. The inverse problem is solved with an optimization algorithm like ART or Conjugate Gradient. This ill-posed inverse problem can be simplified by using a priori knowledge of the studied objects. In this paper, we consider that DOT is a functional imaging technique that can be complemented by an anatomical imaging technique like Magnetic Resonance Imaging (MRI). We used anatomic information obtained from MRI as prior knowledge to compute optical absorption and scattering images. In a first step, MRI segmented images were only used to mesh our phantoms, with a finer resolution around boundaries. In a second step, we computed optical images with homogeneous properties from the segmented MRI image, in order to initialise our optimisation process. These two initialisations yield better reconstructed images. Reconstruction from simulated and experimental data will be presented.

Paper Details

Date Published: 14 October 2003
PDF: 12 pages
Proc. SPIE 5143, Novel Optical Instrumentation for Biomedical Applications, (14 October 2003); doi: 10.1117/12.500103
Show Author Affiliations
Murielle Torregrossa, Institut de Physique Biologique, CNRS-Univ. Louis Pasteur (France)
C. Virginie Zint, Institut de Physique Biologique, CNRS-Univ. Louis Pasteur (France)
Patrick Poulet, Institut de Physique Biologique, CNRS-Univ. Louis Pasteur (France)

Published in SPIE Proceedings Vol. 5143:
Novel Optical Instrumentation for Biomedical Applications
Albert-Claude Boccara, Editor(s)

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