2011
DOI: 10.1002/mrm.22952
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Improved temporal resolution in cardiac imaging using through‐time spiral GRAPPA

Abstract: Previous work has shown that the use of radial GRAPPA for the reconstruction of undersampled real-time free-breathing cardiac data allows for frame rates of up to 30 images / s. It is well known that the spiral trajectory offers a higher scan efficiency compared to radial trajectories. For this reason, we have developed a novel through-time spiral GRAPPA method and demonstrate its application to real-time cardiac imaging. By moving from the radial trajectory to the spiral trajectory, the temporal resolution ca… Show more

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Cited by 51 publications
(76 citation statements)
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“…In conclusion, a rapid technique for quantitative abdominal imaging was developed by using an FISP MR fingerprinting acquisition in combination with the Bloch-Siegert B 1 mapping method, coverage within a breath hold (23)(24)(25). Finally, validation experiments were conducted in phantoms and not in patients.…”
Section: Discussionmentioning
confidence: 99%
“…In conclusion, a rapid technique for quantitative abdominal imaging was developed by using an FISP MR fingerprinting acquisition in combination with the Bloch-Siegert B 1 mapping method, coverage within a breath hold (23)(24)(25). Finally, validation experiments were conducted in phantoms and not in patients.…”
Section: Discussionmentioning
confidence: 99%
“…One approach is to collect fully-sampled data separately from the acquisition of the accelerated data (Figure 11b). The instances for a particular kernel can then be gathered by moving the kernel inside a small segment of the fully-sampled k-space around the target point; by collecting several repetitions before or after the undersampled acquisition and gathering instances through time [70,71]; or by collecting instances over many partitions of k-space, in the case of 3D datasets [72]. A combination of these techniques can also be used.…”
Section: Non-cartesian Parallel Imagingmentioning
confidence: 99%
“…Non-Cartesian GRAPPA algorithms have been developed for various trajectories, including radial [70], variable-density and uniform-density spiral [71,74], rosette [75], and BLADE/PROPELLER trajectories [76,77]. Although more computation is required for non-Cartesian as compared to Cartesian GRAPPA, it is well-suited to parallelization on graphics cards because each target point can be reconstructed independently from other target points.…”
Section: Non-cartesian Parallel Imagingmentioning
confidence: 99%
“…Then, kernels can be determined for each spatial point. In a further extension of this approach using a spiral k-space readout, 31 a temporal resolution of 29 milliseconds for spatial resolution of better than 2 mm is reported. …”
Section: Discussionmentioning
confidence: 99%