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This article is cited in 12 scientific papers (total in 12 papers)
Special issue devoted to application of laser technologies in biophotonics and biomedical studies
Algebraic reconstruction and postprocessing in one-step diffuse optical tomography
A. B. Konovalova, V. V. Vlasova, D. V. Mogilenskikha, O. V. Kravtsenyukb, V. V. Lyubimovc a Russian Federal Nuclear Center E. I. Zababakhin All-Russian Scientific Research Institute of Technical Physics, Snezhinsk
b Institute of Electronic Structure and Laser-Foundation for Research and Technology-Hellas, Crete, Greece
c Federal State Unitary Enterprise «Scientific and Industrial Corporation "Vavilov State Optical Institute"», St. Petersburg
Abstract:
The photon average trajectory method is considered, which is used as an approximate method of diffuse optical tomography and is based on the solution of the Radon-like trajectory integral equation. A system of linear algebraic equations describing a discrete model of object reconstruction is once inverted by using a modified multiplicative algebraic technique. The blurring of diffusion tomograms is eliminated by using space-varying restoration and methods of nonlinear colour interpretation of data. The optical models of the breast tissue in the form of rectangular scattering objects with circular absorbing inhomogeneities are reconstructed within the framework of the numerical experiment from optical projections simulated for time-domain measurement technique. It is shown that the quality of diffusion tomograms reconstructed by this method is close to that of tomograms reconstructed by using Newton-like multistep algorithms, while the computational time is much shorter.
Received: 23.01.2008 Revised: 06.02.2008
Citation:
A. B. Konovalov, V. V. Vlasov, D. V. Mogilenskikh, O. V. Kravtsenyuk, V. V. Lyubimov, “Algebraic reconstruction and postprocessing in one-step diffuse optical tomography”, Kvantovaya Elektronika, 38:6 (2008), 588–596 [Quantum Electron., 38:6 (2008), 588–596]
Linking options:
https://www.mathnet.ru/eng/qe13834 https://www.mathnet.ru/eng/qe/v38/i6/p588
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