1986
DOI: 10.1016/0730-725x(86)91046-5
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Reducing motion artifacts in two-dimensional Fourier transform imaging

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Cited by 196 publications
(114 citation statements)
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“…The powerful k-space formalism, which was introduced to solve this system of linear differential equations for the cases of signal reception (5) and excitation (6), is based on the time-invariance of the position vector r. Thus, if the voxels are moving, the k-space formalism is no longer valid and image reconstruction via fast Fourier transform (FFT) generally becomes impossible. Only for the special case of interview motion has it been shown that the kspace formalism may be preserved to correct for translation (7) and linear expansion (8). Hence, this paper discusses affine motion in terms of the Bloch equations, which allows for a more coherent description of motion compensation during signal excitation and reception without being restricted to interview motion.…”
Section: Theorymentioning
confidence: 99%
See 1 more Smart Citation
“…The powerful k-space formalism, which was introduced to solve this system of linear differential equations for the cases of signal reception (5) and excitation (6), is based on the time-invariance of the position vector r. Thus, if the voxels are moving, the k-space formalism is no longer valid and image reconstruction via fast Fourier transform (FFT) generally becomes impossible. Only for the special case of interview motion has it been shown that the kspace formalism may be preserved to correct for translation (7) and linear expansion (8). Hence, this paper discusses affine motion in terms of the Bloch equations, which allows for a more coherent description of motion compensation during signal excitation and reception without being restricted to interview motion.…”
Section: Theorymentioning
confidence: 99%
“…[1] and [2], and [7] and [8] shows that the effect of affine motion may be compensated for prospectively in an MRI experiment by precompensating for the gradient waveforms and (de)modulating the transmitted and received RF signal according to Eqs.…”
Section: Theorymentioning
confidence: 99%
“…For respiratory motion, breath-holding may be used for short acquisi- tions and respiratory gating or phase-encode reordering, [30][31][32] for longer scans. Similarly for offsetting cardiac motion, cardiac gating, 33 a method of synchronizing data acquisition with the cardiac cycle, is available, whereas gradient-moment nulling has been proposed 34 for reducing pulsatility artifacts from flowing blood.…”
Section: Motion Compensationmentioning
confidence: 99%
“…Solutions for this time interval have been 1) the use of improved gradients and asymmetric echo readout (4) to reduce the time between the phase-encoding gradient and the frequency-encoding echo center; 2) the addition of flow-compensation lobes to the phase-encoding gradients (3,6 -10); 3) the use of nonsequential phase-encoding sampling orders (12)(13)(14); and 4) the use of nonCartesian sampling techniques such as interleaved spirals and projection reconstruction (5). In this study we limit the discussion to Cartesian sampling, including numbers 1, 2, and 3.…”
Section: Theorymentioning
confidence: 99%
“…Nonsequential phase-encoding acquisition was first proposed for 2DFT imaging to reduce motion-related artifacts by destroying the periodicity of cyclic motion (12). Centric phase-encoding acquisition was used in 3D imaging to reduce motion artifacts by acquiring the central k-space views close together in time (13).…”
Section: Elliptical-centric (Ec) Acquisitionmentioning
confidence: 99%