GRAPPA Operator for Wider RadiaL Band (GROWL)
نویسندگان
چکیده
Fig. 2 Comparison of in vivo gradient echo images using conventional regridding (top), GROWL reconstruction without (middle) and with (bottom) regularization. Reduction factor R is shown at the top-left corner of each panel, while numbers at the bottom-right corners are normalized error percentage from the gold-standard (R=1, 256 view) image. For GROWL, the number of parallel k-space lines within each segments are 3, 3, 5 (left to right), respectively. GRAPPA Operator for Wider RadiaL Band (GROWL)
منابع مشابه
High Temporal Resolution Radial Motion Correction with GROWL
accuracy of GROWL recon. (a)-(c): Reference image (a, 256x256), reconstruction using 8 radial lines with regridding (b) and GROWL (c). (d)-(e): Maximal correlation (d) and average rotational errors (e) with different no. of views. Fig. 1 GROWL reconstruction scheme. (a) The original undersampled dataset with a small Nyquist circle. (b) After each radial view is widened into a band using a GRAPP...
متن کاملOptimally Regularized GRAPPA/GROWL with Experimental Verifications
without (a) and with (b) the proposed regularization. Noise level = 5%. (c) RMSE vs. regularization factor at various noise levels. λopt is defined in Eqn. (5). Fig. 1 RMSE for GRAPPA images with different Tikhonov regularization factors (a) and additive noise level in the ACS region (b). λopt and σopt are defined in Eqn. (5) and (6), respectively. Image matrix 256 x 256, reduction factor R = 4...
متن کاملRT-GROG: parallelized self-calibrating GROG for real-time MRI.
A real-time implementation of self-calibrating Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) operator gridding for radial acquisitions is presented. Self-calibrating GRAPPA operator gridding is a parallel-imaging-based, parameter-free gridding algorithm, where coil sensitivity profiles are used to calculate gridding weights. Self-calibrating GRAPPA operator gridding's wei...
متن کاملQuantitative g-factors for radial GRAPPA
Introduction: Recently, a theoretical framework for quantitative estimation of the non-uniform noise enhancement in GRAPPA reconstructions has been derived [1,2]. These works show that a GRAPPA g-factor can be calculated directly from the GRAPPA weights, which corresponds with the g-factor familiar in SENSE reconstructions [3]. In this work, we extend this concept to GRAPPA acquisitions where m...
متن کاملA comparison of real-time radial GRAPPA and standard cine imaging for the evaluation of cardiac function in children and young adults
Background Segmented balanced steady state free precession (bSSFP) cine imaging is the gold standard MRI technique for assessing ventricular systolic function. The image acquisition involves ECG gating and is ideally performed during breath-hold to reduce artifacts from myocardial and respiratory motion. Real-time radial imaging with parallel imaging technique GRAPPA reconstruction (radial GRAP...
متن کامل