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[HTML][HTML] Deep learning-based rigid motion correction for magnetic resonance imaging: a survey
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 …
image artifacts in magnetic resonance imaging (MRI), causing geometric distortion, blurring …
Retrospective correction of motion‐affected MR images using deep learning frameworks
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 …
image quality and, thus, impair diagnostic accuracy. In addition to involuntary physiological …
Conditional generative adversarial network for 3D rigid‐body motion correction in MRI
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 …
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
Physiological motion, such as cardiac and respiratory motion, during Magnetic Resonance
(MR) image acquisition can cause image artifacts. Motion correction techniques have been …
(MR) image acquisition can cause image artifacts. Motion correction techniques have been …
Comparison of prospective and retrospective motion correction in 3D‐encoded neuroanatomical MRI
Purpose To compare prospective motion correction (PMC) and retrospective motion
correction (RMC) in Cartesian 3D‐encoded MPRAGE scans and to investigate the effects of …
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
Fetal magnetic resonance imaging (MRI) is challenged by uncontrollable, large, and
irregular fetal movements. It is, therefore, performed through visual monitoring of fetal motion …
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
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 …
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
Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) has
emerged as a powerful imaging technique sensitive to tissue molecular composition, pH …
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
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 …
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
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 …
k‐space guidance lines for improving motion correction in Cartesian 2D and 3D brain MRI …