PCA compression of the redundancy weight layer reduces trainable parameters by 97.25% in a differentiable shift-variant FBP model with similar reconstruction quality on simulated sinusoidal-trajectory CBCT.
and Clack, R., ``A cone-beam reconstruction algorithm using shift-variant filtering and cone-beam backprojection,'' IEEE transactions on medical imaging 13 (1), 186--195 (1994)
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Compressibility Analysis for the differentiable shift-variant Filtered Backprojection Model
PCA compression of the redundancy weight layer reduces trainable parameters by 97.25% in a differentiable shift-variant FBP model with similar reconstruction quality on simulated sinusoidal-trajectory CBCT.