Cargando…
Myocardial Segmentation of Tagged Magnetic Resonance Images with Transfer Learning Using Generative Cine-To-Tagged Dataset Transformation
The use of deep learning (DL) segmentation in cardiac MRI has the potential to streamline the radiology workflow, particularly for the measurement of myocardial strain. Recent efforts in DL motion tracking models have drastically reduced the time needed to measure the heart’s displacement field and...
Autores principales: | Dhaene, Arnaud P., Loecher, Michael, Wilson, Alexander J., Ennis, Daniel B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952238/ https://www.ncbi.nlm.nih.gov/pubmed/36829660 http://dx.doi.org/10.3390/bioengineering10020166 |
Ejemplares similares
-
Myocardial tissue tagging with cardiovascular magnetic resonance
por: Shehata, Monda L, et al.
Publicado: (2009) -
Regional myocardial contractility in Thalassemia Major by magnetic resonance tagging
por: Meloni, Antonella, et al.
Publicado: (2014) -
Cine and tagged cardiovascular magnetic resonance imaging in normal rat at 1.5 T: a rest and stress study
por: Daire, Jean-Luc, et al.
Publicado: (2008) -
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) -
Regional assessment of myocardial regeneration therapies in rats using magnetic resonance tagging
por: Jackson, Laurence, et al.
Publicado: (2015)