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Time-resolved multispectral optical tomography for reconstruction of depth- resolved changes in oxy- and deoxyhemoglobin

Abstract : In this thesis I developed new techniques for diffuse optical tomography. In the first part, I developed a novel method to compute datatypes for diffuse optical tomography. With this new method a larger set of datatypes can be computed and noise is less correlated. Results show that better resolution in depth is obtained in comparison with the state-of-the-art. Moreover, quantification of absorption is improved significantly. In the second part, I developed total variation regularization method for diffuse optical tomography in irregular meshes. After, I performed brain motor cortex activation experiments in adult subjects with the collaboration of Politecnico di Milano. Previously developed algorithms were applied to that measurements obtaining time-series hemodynamic reconstructions of motor cortex. Finally, I coordinated the largest open dataset in diffuse optics composed by the measurements done within the BitMap network.
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David Orive Miguel. Time-resolved multispectral optical tomography for reconstruction of depth- resolved changes in oxy- and deoxyhemoglobin. Signal and Image processing. Université Grenoble Alpes, 2019. English. ⟨NNT : 2019GREAT108⟩. ⟨tel-02411550v2⟩

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