Abstract | ||
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In recent years, researchers have obtained impressive reconstructions of the refractive index (RI) of biological objects through the combined use of advanced physics (nonlinear forward model) and regularization. Here, we propose an adaptation of these techniques for the more challenging problem of intensity-only measurements. It involves a difficult nonconvex optimization problem where phase and distribution of the RI must be jointly estimated. Using an adequate splitting, we leverage recent achievements in phase retrieval and RI reconstruction to perform this task. This yields an efficient reconstruction method with sparsity constraints. |
Year | Venue | Keywords |
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2018 | 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) | Beam propagation, intensity measurement, coherence tomography, image reconstruction |
Field | DocType | ISSN |
Iterative reconstruction,Computer vision,Phase retrieval,Diffraction tomography,Nonlinear system,Computer science,Regularization (mathematics),Beam (structure),Artificial intelligence,Optimization problem,Refractive index | Conference | 1945-7928 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thanh-An Pham | 1 | 2 | 2.06 |
Emmanuel Soubies | 2 | 5 | 7.29 |
JooWon Lim | 3 | 0 | 0.34 |
Alexandre Goy | 4 | 1 | 0.69 |
Ferréol Soulez | 5 | 71 | 10.87 |
Demetri Psaltis | 6 | 431 | 209.24 |
M Unser | 7 | 4335 | 499.89 |