Application of the artificial neural network for reconstructing the internal-structure image of a random medium by spatial characteristics of backscattered optical radiation
- Cranfield Health, Cranfield University, Silsoe (United Kingdom)
- N. G. Chernyshevskii Saratov State University, Saratov (Russian Federation)
The feasibility of using an artificial neural network (ANN), which is the standard Matlab tool, for non-invasive (based on the data of backscattering) diagnostics of macro-inhomogeneities, localised at subsurface layers of the turbid strongly scattering medium was shown. The spatial and angle distribution of the backscattered optical radiation was calculated by using the Monte-Carlo method combining the modelling of effective optical paths and the use of statistical weights. It was shown that application of the backscattering method together with the ANN allows solving inverse problems for determining the average radius of the scattering particles and for reconstructing the images of structural elements within the medium with a high accuracy. (special issue devoted to application of laser technologies in biophotonics and biomedical studies)
- OSTI ID:
- 21466875
- Journal Information:
- Quantum Electronics (Woodbury, N.Y.), Vol. 38, Issue 6; Other Information: DOI: 10.1070/QE2008v038n06ABEH013843; ISSN 1063-7818
- Country of Publication:
- United States
- Language:
- English
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