dStripe: Slice artefact correction in diffusion MRI via constrained neural network

MRI scanner and sequence imperfections and advances in reconstruction and imaging techniques to increase motion robustness can lead to inter-slice intensity variations in Echo Planar Imaging. Leveraging deep convolutional neural networks as universal image filters, we present a data-driven method fo...

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Detalles Bibliográficos
Autores principales: Pietsch, Maximilian, Christiaens, Daan, Hajnal, Joseph V, Tournier, J-Donald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566280/
https://www.ncbi.nlm.nih.gov/pubmed/34634644
http://dx.doi.org/10.1016/j.media.2021.102255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566280/
https://www.ncbi.nlm.nih.gov/pubmed/34634644
http://dx.doi.org/10.1016/j.media.2021.102255

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