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Reducing motion artifacts in 4D MR images using principal component analysis (PCA) combined with linear polynomial fitting model

We have previously developed a retrospective 4D‐MRI technique using body area as the respiratory surrogate, but generally, the reconstructed 4D MR images suffer from severe or mild artifacts mainly caused by irregular motion during image acquisition. Those image artifacts may potentially affect the...

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Detalles Bibliográficos
Autores principales: Yang, Juan, Wang, Hongjun, Yin, Yong, Li, Dengwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690092/
https://www.ncbi.nlm.nih.gov/pubmed/26103185
http://dx.doi.org/10.1120/jacmp.v16i2.5165