Comprehensive GRAPPA
نویسندگان
چکیده
J. Miao, W. C. Wong, D. Huo, and D. L. Wilson Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States, Computer Science and Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, Keller Center for Imaging Innovation, St. Joseph Hospital and Medical Center, Phoenix, Arizona, United States, Radiology, University Hospitals of Cleveland, Cleveland, Ohio, United States
منابع مشابه
Quantitative 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...
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Introduction k-t GRAPPA [1,2,3] has been proposed for dynamic imaging with high reduction factors. In this work, GRAPPA operator [4] and narrow window data sharing are used to significantly improve the accuracy and reconstruction speed of k-t GRAPPA. The enhanced version is called the second generation (2G) k-t GRAPPA. Experiments with cardiac cine data sets show that the 2G k-t GRAPPA can prod...
متن کاملIterative Schemes to Solve Low-Dimensional Calibration Equations in Parallel MR Image Reconstruction with GRAPPA
GRAPPA (Generalized Autocalibrating Partially Parallel Acquisition) is a widely used parallel MRI reconstruction technique. The processing of data from multichannel receiver coils may increase the storage and computational requirements of GRAPPA reconstruction. Random projection on GRAPPA (RP-GRAPPA) uses random projection (RP) method to overcome the computational overheads of solving large lin...
متن کاملTV Regularization for High-Pass GRAPPA with Higher Net Acceleration Factor
Introduction In this work, a novel method using calculated calibration signal is introduced to improve high-pass GRAPPA (hp-GRAPPA) [1] when only limited auto-calibration signal (ACS) lines are acquired. Hp-GRAPPA suppresses the central calibration signal to reduce image support. When the number of ACS lines is limited, this suppression will result in insufficient calibration signal which cause...
متن کاملTwo‐dimensional‐NGC‐SENSE‐GRAPPA for fast, ghosting‐robust reconstruction of in‐plane and slice‐accelerated blipped‐CAIPI echo planar imaging
PURPOSE Ghosting-robust reconstruction of blipped-CAIPI echo planar imaging simultaneous multislice data with low computational load. METHODS To date, Slice-GRAPPA, with "odd-even" kernels that improve ghosting performance, has been the framework of choice for such reconstructions due to its predecessor SENSE-GRAPPA being deemed unsuitable for blipped-CAIPI data. Modifications to SENSE-GRAPPA...
متن کاملTV Regularization for Segmented GRAPPA with Higher Net Acceleration Factor
Introduction In this work, we propose a novel method to apply segmented GRAPPA [1, 2] when only limited auto-calibration signal (ACS) lines are available. As pointed out in [3], segmented GRAPPA is superior to GRAPPA [4] but requires significant amount of ACS lines. To overcome this drawback, a total variation (TV) regularized GRAPPA technique is used to produce a full calibration k-space with ...
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تاریخ انتشار 2008