MR Image Reconstruction Using Block Matching and Adaptive Kernel Methods

An approach to Magnetic Resonance (MR) image reconstruction from undersampled data is proposed. Undersampling artifacts are removed using an iterative thresholding algorithm applied to nonlinearly transformed image block arrays. Each block array is transformed using kernel principal component analys...

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Detalles Bibliográficos
Autores principales: Schmidt, Johannes F. M., Santelli, Claudio, Kozerke, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846016/
https://www.ncbi.nlm.nih.gov/pubmed/27116675
http://dx.doi.org/10.1371/journal.pone.0153736

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846016/
https://www.ncbi.nlm.nih.gov/pubmed/27116675
http://dx.doi.org/10.1371/journal.pone.0153736

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