A projection method mitigates modeling errors in diffuse optical tomography by orthogonalizing the primary Jacobian against nuisance Jacobians or their leading singular vectors for uncertainties in domain, coupling coefficients, and baseline optical parameters.
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Projections for handling uncertainties and enabling domain truncation in diffuse optical tomography
A projection method mitigates modeling errors in diffuse optical tomography by orthogonalizing the primary Jacobian against nuisance Jacobians or their leading singular vectors for uncertainties in domain, coupling coefficients, and baseline optical parameters.