Paper
14 October 2003 Effects of prior MRI information on image reconstruction in diffuse optical tomography
Author Affiliations +
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Murielle Torregrossa, C. Virginie Zint, and Patrick Poulet "Effects of prior MRI information on image reconstruction in diffuse optical tomography", Proc. SPIE 5143, Novel Optical Instrumentation for Biomedical Applications, (14 October 2003); https://doi.org/10.1117/12.500103
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Magnetic resonance imaging

Scattering

Absorption

Image segmentation

Diffusion

Reconstruction algorithms

Finite element methods

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