2010
DOI: 10.1002/mrm.22618
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Improved radial GRAPPA calibration for real‐time free‐breathing cardiac imaging

Abstract: To generate real-time, nongated, free-breathing cardiac images, the undersampled radial trajectory combined with parallel imaging in the form of radial GRAPPA has shown promise. However, this method starts to fail at high undersampling factors due to the assumptions that must be made for the purposes of calibrating the GRAPPA weight sets. In this manuscript, a novel through-time radial GRAPPA calibration scheme is proposed which greatly improves image quality for the high acceleration factors required for real… Show more

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Cited by 97 publications
(155 citation statements)
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“…It is therefore advisable to search for complementary information in the data acquired immediately before or after the actual frame. For these reasons radial "through-time" GRAPPA [15] was recently extended to use self-calibration, but found to result in an insufficient number of GRAPPA kernels for restoring adequate image quality, so that respective cardiac applications lead to partial blurring of systolic frames [16].…”
Section: Nonlinear Inverse Reconstructionmentioning
confidence: 99%
“…It is therefore advisable to search for complementary information in the data acquired immediately before or after the actual frame. For these reasons radial "through-time" GRAPPA [15] was recently extended to use self-calibration, but found to result in an insufficient number of GRAPPA kernels for restoring adequate image quality, so that respective cardiac applications lead to partial blurring of systolic frames [16].…”
Section: Nonlinear Inverse Reconstructionmentioning
confidence: 99%
“…Susceptibility artifacts: the benefit from parallel acceleration techniques (GRAPPA, SENSE), selective RF pulse (zonal oblique multi-slice EPI (ZOOM-EPI)), or RF multi-band technology It is well-known that parallel imaging techniques (generalized autocalibrating partially parallel acquisition (GRAPPA), array spatial sensitivity encoding technique (ASSET), sensitivity encoding (SENSE)) [37][38][39][40][41][42][43][44][45][46] allow substantial reduction of echo time (TE) and related susceptibility artifacts (see Fig. 3) leading to a subsequent improvement of image quality close to air-tissue interfaces.…”
Section: Diffusion Imagingmentioning
confidence: 99%
“…Recently, the combination of radial acquisition with parallel imaging has been presented as a promising alternative. 30 To calculate the GRAPPA kernels, a prescan is performed, consisting of several fully sampled images at several points in time. Then, kernels can be determined for each spatial point.…”
Section: Discussionmentioning
confidence: 99%