DIFFUSION OPTICAL TOMOGRAPHY USING ENTROPIC PRIORS.
2009 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1 AND 2.
(pp. 197 - 200).
Diffuse optical tomography (DOT) is a functional imaging modality which aims to retrieve the optical characteristics of the probed tissue, namely light absorption and diffusion. The accurate retrieval of the spatial distribution for each optical characteristic involves the solution of a highly-ill posed, non-linear inverse problem, thus employing a regularization is essential.In this work, we propose an entropic regularization scheme for DOT reconstruction that uses a priori structural information through mutual information (MI) and joint entropy (JE). We compare MI and JE through simulations that illustrate their behavior when the reference and DOT images are not identical in structure. We propose an efficient implementation of these regularizers based on fast Fourier transforms. The method is tested through numerical simulations.
|Title:||DIFFUSION OPTICAL TOMOGRAPHY USING ENTROPIC PRIORS|
|Event:||IEEE International Symposium on Biomedical Imaging - From Nano to Macro|
|Dates:||2009-06-28 - 2009-07-01|
|Keywords:||Diffusion Optical Tomography, Regularization, Prior information, Joint entropy, Mutual Information, IMAGE-RECONSTRUCTION, MUTUAL INFORMATION|
|UCL classification:||UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
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