Model-independent dynamic constraint to improve the optical reconstruction of regional kinetic parameters |
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Authors: | Elliott Jonathan T Diop Mamadou Lee Ting-Yim Lawrence Keith S |
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Affiliation: | Department of Medical Biophysics, The University of Western Ontario, London, Ontario, N6A 3K7, Canada. jelliott@lawsonimaging.ca |
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Abstract: | Optical dye-dilution techniques can quantify kinetic parameters in a region of tissue, but currently rely on a two-step process-spatial reconstruction of the dye concentration, repeated at every time-point, and subsequent kinetic analysis of the time-dependent change in dye concentration. Inaccuracies, in this approach, are due mainly to the ill-posed nature of the spatial reconstruction problem, which propagates into kinetic analysis and result in errors in extracted dynamic parameters. We present a hybrid kinetic deconvolution optical reconstruction algorithm, effectively combining optical reconstruction and model-independent kinetic analysis into a single inverse problem that is better posed. Kinetic parameters of multiple tissue regions can be quantified simultaneously. As proof of principle, we provide numerical experiments in reflectance-based and fluorescence molecular tomography scenarios. |
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