Cargando…
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images
T1-weighted (T1w) MRI has low frequency intensity artifacts due to magnetic field inhomogeneities. Removal of these biases in T1w MRI images is a critical preprocessing step to ensure spatially consistent image interpretation. N4ITK bias field correction, the current state-of-the-art, is implemented...
Autores principales: | Kanakaraj, Praitayini, Yao, Tianyuan, Cai, Leon Y., Lee, Ho Hin, Newlin, Nancy R., Kim, Michael E., Gao, Chenyu, Pechman, Kimberly R., Archer, Derek, Hohman, Timothy, Jefferson, Angela, Beason-Held, Lori L., Resnick, Susan M., Garyfallidis, Eleftherios, Anderson, Adam, Schilling, Kurt G., Landman, Bennett A., Moyer, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680935/ https://www.ncbi.nlm.nih.gov/pubmed/38014176 http://dx.doi.org/10.21203/rs.3.rs-3585882/v1 |
Ejemplares similares
-
MidRISH: Unbiased harmonization of rotationally invariant harmonics of the diffusion signal
por: Newlin, Nancy R., et al.
Publicado: (2023) -
Predicting Age from White Matter Diffusivity with Residual Learning
por: Gao, Chenyu, et al.
Publicado: (2023) -
Characterizing patterns of DTI variance in aging brains
por: Gao, Chenyu, et al.
Publicado: (2023) -
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
por: Cai, Leon Y., et al.
Publicado: (2023) -
White matter microstructural metrics are sensitively associated with clinical staging in Alzheimer's disease
por: Yang, Yisu, et al.
Publicado: (2023)