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A method based on gradient spin echo (GRASE) image acquisition can significantly reduce the susceptibility artefacts (unpublished observations) and could be applied in abdominal imaging.
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A basic or general study combines T1-weighted and T2-weighted images based on gradient echo and fast spin echo sequences, respectively [90].
The proposed feature is based on gradient, but different from conventional gradient-based local features, and designed to seam carving.
One category is based on gradient, including finite difference approximation of derivative, adjoint gradient-based methods, and gradient simulator methods.
It is based on gradient descent method.
The parameters are iteratively updated based on gradient descent.
A new algorithm based on gradient descent is used.
After calculating the gradient of extreme point, the adjacent region is divided based on gradient direction of feature points specified by gradient histogram.
The time cadence for the data acquisition is adjusted at each spin, based on the previous spin period.
The calculations were based on the spin density functional theory.
All the calculations were based on the spin density functional theory.
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