Title | ||
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Combination of boundary element method and finite element method in diffuse optical tomography. |
Abstract | ||
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This paper presents a new numerical method for optical tomography: the combined boundary element/finite element method (BEM-FEM), designed to tackle reconstructions in layered turbid media. The BEM-FEM focuses on the region of interest by creating a volume mesh and reconstructing in this region only. All other regions are treated as piecewise-constant in a surface-integral approach. We validate the model in concentric spheres, with different positions of the volume-integral treated area and found it compared well with an analytical result. We then performed functional imaging of the neonates motor cortex in vivo, in a reconstruction restricted to the brain, both with FEM and BEM-FEM. These results show the effectiveness of the BEMFEM in situations where the organ of interest is surrounded by superficial layers. |
Year | DOI | Venue |
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2010 | 10.1109/TBME.2010.2055868 | IEEE transactions on bio-medical engineering |
Keywords | Field | DocType |
diffuse optical tomography,optical tomography,organ,superficial layers,volume mesh,neonate motor cortex,inverse problems,boundary element method,boundary-elements methods,image reconstruction,bem,finite element method,fem,finite element analysis,brain,functional imaging,boundary element method (bem),brain models,finite element method (fem),diffusion approximation (da),medical image processing | Boundary knot method,Computer science,Mathematical analysis,Volume mesh,Artificial intelligence,Optical tomography,Iterative reconstruction,Computer vision,Diffuse optical imaging,Optics,Finite element method,Boundary element method,Numerical analysis | Journal |
Volume | Issue | ISSN |
57 | 11 | 1558-2531 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Josias Pierrick Elisee | 1 | 0 | 0.34 |
Adam Gibson | 2 | 0 | 0.68 |
Simon Arridge | 3 | 0 | 0.34 |