1988
DOI: 10.1109/42.7788
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Image reconstruction from linograms: implementation and evaluation

Abstract: The notion of a linogram corresponds to the notion of a sinogram in the conventional representation of projection data for image reconstruction. In the sinogram, points which correspond to rays through a fixed point in the cross section to be reconstructed all fall on a sinusoidal curve. In the linogram, however, these points fall on a straight line. The implementation of a novel image reconstruction method using this property is discussed. The implementation is of order N (2) log N, where N is proportional to… Show more

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Cited by 71 publications
(34 citation statements)
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“…This has a substantial impact on the interpolation speed, since only 2-D interpolations within the transverse planes (rather than full 3-D ones) are needed [30]. This reduction of the interpolation dimensionality enabled by proper (oblique-angle dependent) axial sampling is based on a similar principle to the linogram reconstruction in which the 2-D interpolations within the planes of the image spectrum are reduced to 1-D ones by properly designed (polar-angle dependent) radial sampling of projection data [12], [31], [32]. For the continuous detector systems, the list mode data are often rebinned into bins of the same axial size for each tilt, although they can be rebinned into any reasonable geometry including the ring scanner geometry.…”
Section: Axial Samplingmentioning
confidence: 99%
“…This has a substantial impact on the interpolation speed, since only 2-D interpolations within the transverse planes (rather than full 3-D ones) are needed [30]. This reduction of the interpolation dimensionality enabled by proper (oblique-angle dependent) axial sampling is based on a similar principle to the linogram reconstruction in which the 2-D interpolations within the planes of the image spectrum are reduced to 1-D ones by properly designed (polar-angle dependent) radial sampling of projection data [12], [31], [32]. For the continuous detector systems, the list mode data are often rebinned into bins of the same axial size for each tilt, although they can be rebinned into any reasonable geometry including the ring scanner geometry.…”
Section: Axial Samplingmentioning
confidence: 99%
“…For LR MRI, the signal corresponding to water protons appears both at the right and at the top, while the fat signal appears to the left and the bottom of the image, as expected from Eq. [5]. This is similar to the 2DFT spin-echo case where the water and fat signals are displaced along one direction (the readout direction).…”
Section: Methods Simulationsmentioning
confidence: 74%
“…This approach differs from the previously described linogram method (LM) (2) (which was presented as a general reconstruction algorithm outside the context of reconstruction from MRI data) in that the data in k-space directly correspond to an intermediate step of the DFM approach to linogram image reconstruction.…”
Section: Introductionmentioning
confidence: 98%
“…The two sets are denoted by ST(k,, k,) and Sc(k,, k,), respectively (after remapping from ( n , t) to (ky, kv), using Eq. [2]). Sampling is carried…”
mentioning
confidence: 93%