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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2015
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| 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 |