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Published in 2018 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27168
Abstract: To correct gradient timing delays in non‐Cartesian MRI while simultaneously recovering corruption‐free auto‐calibration data for parallel imaging, without additional calibration scans.
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Keywords:
simultaneous auto;
non cartesian;
auto calibration;
calibration ... See more keywords
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Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29645
Abstract: Optimizing three‐dimensional (3D) k‐space sampling trajectories is important for efficient MRI yet presents a challenging computational problem. This work proposes a generalized framework for optimizing 3D non‐Cartesian sampling patterns via data‐driven optimization.
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Keywords:
optimization three;
cartesian sampling;
three dimensional;
stochastic optimization ... See more keywords
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Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3144619
Abstract: Deep Learning has become a very promising avenue for magnetic resonance image (MRI) reconstruction. In this work, we explore the potential of unrolled networks for non-Cartesian acquisition settings. We design the NC-PDNet (Non-Cartesian Primal Dual…
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Keywords:
network;
pdnet;
mri reconstruction;
density compensated ... See more keywords
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Published in 2021 at "Journal of Computational Chemistry"
DOI: 10.4236/jcc.2021.91001
Abstract: The Sensitivity Encoding (SENSE) parallel reconstruction scheme for magnetic resonance imaging (MRI) is implemented with non-cartesian sampled k-space trajectories in this paper. SENSE has the special capability to reduce the scanning time for MRI experiments…
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Keywords:
reconstruction;
non cartesian;
space;
sensitivity encoding ... See more keywords