[HTML][HTML] Deep learning-based rigid motion correction for magnetic resonance imaging: a survey

Y Chang, Z Li, G Saju, H Mao, T Liu - Meta-Radiology, 2023 - Elsevier
Physiological and physical motions of the subjects, eg, patients, are the primary sources of
image artifacts in magnetic resonance imaging (MRI), causing geometric distortion, blurring …

Retrospective correction of motion‐affected MR images using deep learning frameworks

T Küstner, K Armanious, J Yang, B Yang… - Magnetic resonance …, 2019 - Wiley Online Library
Purpose Motion is 1 extrinsic source for imaging artifacts in MRI that can strongly deteriorate
image quality and, thus, impair diagnostic accuracy. In addition to involuntary physiological …

Conditional generative adversarial network for 3D rigid‐body motion correction in MRI

PM Johnson, M Drangova - Magnetic resonance in medicine, 2019 - Wiley Online Library
Purpose Subject motion in MRI remains an unsolved problem; motion during image
acquisition may cause blurring and artifacts that severely degrade image quality. In this …

LAPNet: Non-rigid registration derived in k-space for magnetic resonance imaging

T Küstner, J Pan, H Qi, G Cruz, C Gilliam… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Physiological motion, such as cardiac and respiratory motion, during Magnetic Resonance
(MR) image acquisition can cause image artifacts. Motion correction techniques have been …

Comparison of prospective and retrospective motion correction in 3D‐encoded neuroanatomical MRI

JM Slipsager, SL Glimberg, L Højgaard… - Magnetic resonance …, 2022 - Wiley Online Library
Purpose To compare prospective motion correction (PMC) and retrospective motion
correction (RMC) in Cartesian 3D‐encoded MPRAGE scans and to investigate the effects of …

Deep predictive motion tracking in magnetic resonance imaging: application to fetal imaging

A Singh, SSM Salehi… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Fetal magnetic resonance imaging (MRI) is challenged by uncontrollable, large, and
irregular fetal movements. It is, therefore, performed through visual monitoring of fetal motion …

Rapid and accurate navigators for motion and B0 tracking using QUEEN: Quantitatively enhanced parameter estimation from navigators

Y Brackenier, N Wang, C Liao, X Cao… - Magnetic …, 2024 - Wiley Online Library
Purpose To develop a framework that jointly estimates rigid motion and polarizing magnetic
field (B0) perturbations (δ B 0 δ B _ 0) for brain MRI using a single navigator of a few …

Motion and magnetic field inhomogeneity correction techniques for chemical exchange saturation transfer (CEST) MRI: A contemporary review

GL Simegn, PZ Sun, J Zhou, M Kim… - NMR in …, 2025 - Wiley Online Library
Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) has
emerged as a powerful imaging technique sensitive to tissue molecular composition, pH …

Motion correction for brain mri using deep learning and a novel hybrid loss function

L Zhang, X Wang, M Rawson, R Balan, EH Herskovits… - Algorithms, 2024 - mdpi.com
Purpose: Motion-induced magnetic resonance imaging (MRI) artifacts can deteriorate image
quality and reduce diagnostic accuracy, but motion by human subjects is inevitable and can …

Motion guidance lines for robust data consistency–based retrospective motion correction in 2D and 3D MRI

D Polak, J Hossbach, DN Splitthoff… - Magnetic resonance …, 2023 - Wiley Online Library
Purpose To develop a robust retrospective motion‐correction technique based on repeating
k‐space guidance lines for improving motion correction in Cartesian 2D and 3D brain MRI …