Cargando…
Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis
Motion artifacts deteriorate the quality of magnetic resonance (MR) images. This study proposes a new method to detect phase-encoding (PE) lines corrupted by motion and remove motion artifacts in MR images. 67 cases containing 8710 slices of axial T2-weighted images from the IXI public dataset were...
Autores principales: | Cui, Long, Song, Yang, Wang, Yida, Wang, Rui, Wu, Dongmei, Xie, Haibin, Li, Jianqi, Yang, Guang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815594/ https://www.ncbi.nlm.nih.gov/pubmed/36603007 http://dx.doi.org/10.1371/journal.pone.0278668 |
Ejemplares similares
-
Simple motion correction strategy reduces respiratory-induced motion artifacts for k-t accelerated and compressed-sensing cardiovascular magnetic resonance perfusion imaging
por: Zhou, Ruixi, et al.
Publicado: (2018) -
Correction to: Simple motion correction strategy reduces respiratory-induced motion artifacts for k-t accelerated and compressed-sensing cardiovascular magnetic resonance perfusion imaging
por: Zhou, Ruixi, et al.
Publicado: (2018) -
Artifacts in Magnetic Resonance Imaging
por: Krupa, Katarzyna, et al.
Publicado: (2015) -
Artifacts reduction in strain maps of tagged magnetic resonance imaging using harmonic phase
por: Wang, Daolei, et al.
Publicado: (2015) -
Importance of k-space trajectory on Off resonance artifact in echo-planar velocity imaging
por: Bender, Jacob A, et al.
Publicado: (2012)