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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Panagiotou, C. Somayajula, S. Gibson, A.P. Schweiger, M. Leahy, R.M. Arridge, S.R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Computing Science, University College London, UK (Schweiger, M.; Arridge, S.R.) || Signal and Image Processing Institute, University of Southern California, USA (Somayajula, S.; Leahy, R.M.) || Dept. of Medical Physics & Bioengineering, University College London, UK (Panagiotou, C.; Gibson, A.P.) |
| Abstract | 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. |
| Starting Page | 197 |
| Ending Page | 200 |
| File Size | 497157 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439317 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2009.5193017 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tomography Nonlinear optics US Department of Transportation Optical imaging Image retrieval Absorption Inverse problems Image reconstruction Mutual information Entropy Mutual Information Diffusion Optical Tomography Regularization Prior information Joint entropy |
| Content Type | Text |
| Resource Type | Article |
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