New algorithms for solving inverse source problems in imaging techniques with applications in fluorescence tomography
This thesis is devoted to solving the inverse source problem arising in image reconstruction problems. In general, the solution is non-unique and the problem is severely ill-posed. Therefore, small perturbations, such as the noise in the data, and the modeling error in the forward problem, will caus...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1853/48945 |