Cargando…
Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning–Based Virtual Native Enhancement
Myocardial scars are assessed noninvasively using cardiovascular magnetic resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast-free approach would provide many advantages, including a faster and cheaper scan without contrast-associated problems. METHODS: Virtual native...
Autores principales: | Zhang, Qiang, Burrage, Matthew K., Shanmuganathan, Mayooran, Gonzales, Ricardo A., Lukaschuk, Elena, Thomas, Katharine E., Mills, Rebecca, Leal Pelado, Joana, Nikolaidou, Chrysovalantou, Popescu, Iulia A., Lee, Yung P., Zhang, Xinheng, Dharmakumar, Rohan, Myerson, Saul G., Rider, Oliver, Channon, Keith M., Neubauer, Stefan, Piechnik, Stefan K., Ferreira, Vanessa M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9662825/ https://www.ncbi.nlm.nih.gov/pubmed/36124774 http://dx.doi.org/10.1161/CIRCULATIONAHA.122.060137 |
Ejemplares similares
-
Rare congenital quadricuspid pulmonary valve stenosis evaluated by CMR
por: Nikolaidou, Chrysovalantou, et al.
Publicado: (2020) -
Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls
por: Burrage, Matthew K., et al.
Publicado: (2021) -
MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks
por: Gonzales, Ricardo A., et al.
Publicado: (2021) -
Toward Replacing Late Gadolinium Enhancement With Artificial Intelligence Virtual Native Enhancement for Gadolinium-Free Cardiovascular Magnetic Resonance Tissue Characterization in Hypertrophic Cardiomyopathy
por: Zhang, Qiang, et al.
Publicado: (2021) -
Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods
por: Burrage, Matthew K., et al.
Publicado: (2021)