Handbook of mathematics (3rd ed.)
Handbook of mathematics (3rd ed.)
Direct algebraic reconstruction and optimal sampling in vectorfield tomography
IEEE Transactions on Signal Processing
Convolution backprojection formulas for 3-D vector tomography with application to MRI
IEEE Transactions on Image Processing
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The tomographic mapping of a 2-D vector field from line-integral data in the discrete domain requires the uniform sampling of the continuous Radon domain parameter space. In this paper we use sampling theory and derive limits for the sampling steps of the Radon parameters, so that no information is lost. It is shown that if Δx is the sampling interval of the reconstruction region and x max驴 is the maximum value of domain parameter x, the steps one should use to sample Radon parameters 驴 and 驴 should be: $\Delta\rho\leq\Delta x/\sqrt{2}$ and $\Delta\theta\leq\Delta x/((\sqrt{2}+2)|x_{\max}|)$ . Experiments show that when the proposed sampling bounds are violated, the reconstruction accuracy of the vector field deteriorates. We further demonstrate that the employment of a scanning geometry that satisfies the proposed sampling requirements also increases the resilience to noise.