Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps

Diffusion magnetic resonance images may suffer from geometric distortions due to susceptibility induced off resonance fields, which cause geometric mismatch with anatomical images and ultimately affect subsequent quantification of microstructural or connectivity indices. State-of-the art diffusion d...

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Veröffentlicht in:	PloS one Jg. 15; H. 7; S. e0236418
Hauptverfasser:	Schilling, Kurt G., Blaber, Justin, Hansen, Colin, Cai, Leon, Rogers, Baxter, Anderson, Adam W., Smith, Seth, Kanakaraj, Praitayini, Rex, Tonia, Resnick, Susan M., Shafer, Andrea T., Cutting, Laurie E., Woodward, Neil, Zald, David, Landman, Bennett A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 31.07.2020 Public Library of Science (PLoS)
Schlagworte:	Aging Algorithms Biology and Life Sciences Brain - diagnostic imaging Computer and Information Sciences Computer engineering Computer science Data acquisition Datasets Deep learning Diffusion Diffusion Magnetic Resonance Imaging - methods Distortion Echo-Planar Imaging - methods Education Electrical engineering Engineering and Technology Gene mapping Humans Image processing Image Processing, Computer-Assisted - methods Laboratories Machine learning Magnetic permeability Magnetic resonance Magnetic resonance imaging Medicine and Health Sciences Methods Neurosciences Radiology Registration Research and Analysis Methods Resonance Source code Training United States United States > US Nashville Tennessee Baltimore Maryland
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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