Random-Projection Grappa: An Efficient Computational Method for Parallel MRI Reconstruction
As a data-driven technique, GRAPPA has been widely used for parallel MRI reconstruction. In GRAPPA, a large amount of calibration data is desirable for accurate calibration and thus estimation. However, the computational time increases with the large number of equations to be solved, which is especially serious in 3-D reconstruction. To address this...
Published: 11/18/2020
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Inventor(s): Lei (Leslie) Ying, Jingyuan Lv (Lyu)
Keywords(s): Technologies
Category(s): Technology Classifications > Imaging, Campus > University at Buffalo
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