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Normalized amplitudes of the singular values of the Jacobian matrix for the prostatic subvolume algorithm and for the wedge subvolume algorithm, respectively. The first algorithm results in better conditioning, as reconstruction is constrained to a smaller volume, over which the variation in sensitivity is smaller, resulting in a smaller ratio between maximum and minimum singular value of the Jacobian matrix.
