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

Volume: 82, Issue: 4, Pages: 1527 - 1540
Published: May 13, 2019
Abstract
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 motion such as respiration and cardiac motion, intended and accidental patient movements can occur. Any impairment by motion artifacts can reduce the reliability and precision of the diagnosis and a motion-free reacquisition can become time- and cost-intensive....
Paper Details
Title
Retrospective correction of motion‐affected MR images using deep learning frameworks
Published Date
May 13, 2019
Volume
82
Issue
4
Pages
1527 - 1540
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