QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter Trials

Previous research has shown that system-dependent gradient nonlinearity (GNL) introduces a significant spatial bias (nonuniformity) in apparent diffusion coefficient (ADC) maps. Here, the feasibility of centralized retrospective system-specific correction of GNL bias for quantitative diffusion-weigh...

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Detalles Bibliográficos
Autores principales: Malyarenko, Dariya I., Wilmes, Lisa J., Arlinghaus, Lori R., Jacobs, Michael A., Huang, Wei, Helmer, Karl G., Taouli, Bachir, Yankeelov, Thomas E., Newitt, David, Chenevert, Thomas L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2016
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241082/
https://www.ncbi.nlm.nih.gov/pubmed/28105469
http://dx.doi.org/10.18383/j.tom.2016.00214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241082/
https://www.ncbi.nlm.nih.gov/pubmed/28105469
http://dx.doi.org/10.18383/j.tom.2016.00214

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