Cargando…
Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine displacement encoding with stimulated echoes (DENSE) measures heart motion by encoding myocardial displacement into the signal phase, facilitating high accuracy and reproducibility of global and segmental myocardial strain and providing benefi...
Autores principales: | Ghadimi, Sona, Auger, Daniel A., Feng, Xue, Sun, Changyu, Meyer, Craig H., Bilchick, Kenneth C., Cao, Jie Jane, Scott, Andrew D., Oshinski, John N., Ennis, Daniel B., Epstein, Frederick H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7949250/ https://www.ncbi.nlm.nih.gov/pubmed/33691739 http://dx.doi.org/10.1186/s12968-021-00712-9 |
Ejemplares similares
-
Reproducibility of global and segmental myocardial strain using cine DENSE at 3 T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart disease
por: Auger, Daniel A., et al.
Publicado: (2022) -
Semi-automated left ventricular segmentation based on a guide point model approach for 3D cine DENSE cardiovascular magnetic resonance
por: Auger, Daniel A, et al.
Publicado: (2014) -
Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation
por: Hai, Jinjin, et al.
Publicado: (2019) -
Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
por: Aldoj, Nader, et al.
Publicado: (2022) -
Comparison of heart deformation analysis and cine DENSE in volunteers and heart failure patients
por: Auger, Daniel A, et al.
Publicado: (2016)