Nonlinear color segmentation of optical diffusion tomograms reconstructed by the photon average trajectory method

Alexander B. Konovalov; Vitaly V. Vlasov; Dmitry V. Mogilenskikh; Igor V. Pavlov

doi:10.1117/12.831694

9 July 2009 Nonlinear color segmentation of optical diffusion tomograms reconstructed by the photon average trajectory method

Alexander B. Konovalov, Vitaly V. Vlasov, Dmitry V. Mogilenskikh, Igor V. Pavlov

Author Affiliations +

Proceedings Volume 7369, Diffuse Optical Imaging II; 73690I (2009) https://doi.org/10.1117/12.831694
Event: European Conferences on Biomedical Optics, 2009, Munich, Germany

Abstract

The photon average trajectory method has been recently investigated as a fast reconstruction technique for time-domain diffuse optical tomography. The main disadvantage of this method is that it reconstructs the tomograms blurred due to averaging over the spatial distributions of photons. To get information about actual boundary and shape of optical inhomogeneities being reconstructed, we propose the segmentation approach based on the generation of nonlinear analytical and statistical functions of correspondence between image intensity and color space. It is shown that for simple models (absorbing macro-inhomogeneities in a homogeneous scattering medium) the proposed approach allows the true structure of inhomogeneities to be reproduced almost completely. If a medium contains randomly inhomogeneous component, our segmentation method may give artifacts which should be removed on the basis of a priori information.

Citation Download Citation

Alexander B. Konovalov, Vitaly V. Vlasov, Dmitry V. Mogilenskikh, and Igor V. Pavlov "Nonlinear color segmentation of optical diffusion tomograms reconstructed by the photon average trajectory method", Proc. SPIE 7369, Diffuse Optical Imaging II, 73690I (9 July 2009); https://doi.org/10.1117/12.831694

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